Deemples - a mix between matching + ecommerce. No one will pay for matching, unless volume is insane. But volume is not insane in golf, there are only 60mil golfers.

Why is it so hard to build a "tinder for golf".

If you purchase them, Entrepreneur may get a small share of the revenue from the sale from our commerce partners. According to a Deemples article, one in three golfers typically do business on the course. So whether you're an experienced player or new to ...

Improve Your Golf Game from Home with This Simulator, Now Just $199.97

Eager for a break from work? Searching for an activity you can include your friends in? Don’t know what to do with yourself this week? Fret not, because we’ve compiled a list of fun events and activities you can indulge in this whole week! Looking to ...

From ‘One Day Pilot’ To The Songkran Festival: Things To Do In The Klang Valley This Week!

This was precisely what David Wong encountered about six to seven years ago. This prompted him to create Deemples, a golf app that helped him get a golf buddy and expanded his social network ...

Satisfies the Soul, Frustrates the Intellect

David Wong from Deemples shared his story on SYNC B-Sides podcast David Bobis from Business over Drinks joins the SYNC B-Sides podcast Leading PR and content marketing agency SYNC launches B-Sides, a series of video interviews to dispel myths about ...

PR and content marketing agency SYNC launches B-Sides, a series to dispel myths about marketing and PR in Southeast Asia

David Wong from Deemples shared his story on SYNC B-Sides podcast David Bobis from Business over Drinks joins the SYNC B-Sides podcast Leading PR and content marketing agency SYNC launches B-Sides ...

Deemples

deemples

HackerNoon Reporter: Please tell us briefly about your  background. My name is David Wong, born and raised in public schools in Malaysia, got a finance degree from Indiana University, spent a few years working across the US, Beijing, Shanghai, and Singapore, mainly in digital media advertising and technology, and now back in Malaysia chasing dreams and living cheaply. What's your startup called? And in a sentence or two, what does it do? The startup is called Deemples. It’s an app that golfers use to find each other and book tee times. What is the origin story? I started golfing 12 years ago, with a few friends that I “forced” into the game with me. Very quickly they decided that it wasn’t the game for them, but I loved it. Golf courses in Malaysia didn’t allow me to play alone, or match me up with other golfers at the golf course. I got frustrated, and was wondering, if there were platforms that could allow me to get a ride with a stranger, get food delivered by a stranger, stay at a strangers house, heck go on a date with a stranger, why wasn’t there anything for golfers? So we build Deemples, and today it has become the largest golf app in Malaysia :) What do you love about your team, and why are you the ones to solve this problem? The Deemples idea is not new. A lot of people have tried and failed in other parts of the world. Main reason why we think they’ve failed is the lack of skills in 1) product design/dev 2) user acquisition/retention 3) monetisation. I’m very fortunate the team we have does a good job in these 3 area, which has not only kept us alive, but thrived in an area where most have failed. If you weren’t building your startup, what would you be doing? I’d probably be based somewhere else outside of Malaysia, climbing the corporate ladder in the advertising or consumer product space, and golfing weekly. At the moment, how do you measure success? What are your core metrics? As any app product - core metrics are: downloads, monthly users, transactions, GMV. What’s most exciting about your traction to date? We were curious and found out that instead of a drop off that we expected since golfers had to make payment now, golfers came in more because golfers now have an additional reason to use Deemples aside from just finding golf buddies. Golfers were also egging each other on to make payment, so that they know their playing partner was confirmed to participate! As soon as monetisation features were available on Deemples, number of monthly users tripled. What technologies are you currently most excited about, and most worried about? And why? From a non-tech perspective, the technology that Deemples uses are not rocket science. Only when we get to a level of scale, would we use AI and recommendation algorithms to show the most relevant games to golfers. What drew you to get published on HackerNoon? What do you like most about our platform? Straight up, no bull, tech publication! Editor’s Note: YES #NOBULL 💚 What advice would you give to the 21-year-old version of yourself? Care less, and do more. I think at that time, I was falling into the mindset of how to do something that paid the most, especially when you see your peers’ successes. The same mindset that shapes you during formative years during your teens, came to play in the 21-30s, where you either made it early or you didn’t. Only later on do you realise, that focusing solely on the money wasn’t the best option, but using that 21-30s time to explore a ton of different things, to find out what truly you enjoyed doing was probably the better bet. So, care less, do more. What is something surprising you've learned this year that your contemporaries would benefit from knowing? Don’t regret all the mistakes you’ve made. Learn from it, and move forward with it. You can’t change the past, so don’t beat yourself up about it. But you can change the future, so let’s focus on that instead! Deemples was nominated as in Startups of the Year hosted by HackerNoon. one of the best startups in Kuala Lumpur

How Deemples CEO David Wong built the largest golf app in Malaysia 

240 Stories To Learn About Startups Of The Year

318 Stories To Learn About Reactjs

Let's learn about via these 77 free stories. They are ordered by most time reading created on HackerNoon. Visit the to find the most read stories about any technology. Laravel /Learn Repo 1. The Simple & Efficient Way to Enable JWT auth in Laravel By Using PHP-JWT Module I encounter this issue while working on an application for a client recently. Instead of using a JWT library build for Laravel, I used firebase/php-jwt to generate and authenticate users. Don’t ask why as there were many reasons behind this decision. If you are using any Laravel library for JWT like tymondesigns/jwt-auth then you don’t need this anyway, use the library if you want. 2. A Quick Guide to Upgrading Laravel to Version 9 🚀 How you can upgrade your laravel application to version 9 3. PHP Laravel VS Symfony: A Detailed Comparison of Web Development Frameworks When PHP developers need to prepare any enterprise-grade web application, they often prefer to use a framework. 4. How To Install Bash On Windows 10 Microsoft recently joined hands with Canonical (the parent company of Ubuntu) to bring the entire userland into Windows, minus the Linux Kernel. So as a result, you, as a developer, get access to the whole range of Ubuntu command-line tools and utilities with bash shell integrated with Windows. Let’s look at how we can install Bash on Windows 10 and take full advantage of the new feature. 5. My Laravel Repository Pattern Solution (in only 30 lines of code) A 30 line piece of script can finally provide a good solution for a repository pattern in Laravel apps. 6. 7 Laravel Tips You Should Know Hello, my name is Adrian. After writing an article about 6 Eloquent Tricks Every Laravel Developer Should Know and receiving a better than expected feedback from the readers, I decided to show some more Laravel tips that are used at Weap. 7. Error Messages Vs Validation Messages  in Laravel Blade I like to show error messages on top of the page and it’s pretty easy to do that with Laravel and Blade: 8. Laravel Nova Dashboard with Customizable Chart Most of the time in the part of development in software application, users need to have an admin page to show multiple data and information such as sales performance, operation performance, etc. As one of PHP framework, laravel built an administrative panel called laravel nova. Nova is a beautifully designed administration panel for Laravel. By using this tool, you can easily create and manage your admin panel of your website without having create it from scratch. The cool thing about Nova is it developed using PHP or Vue.js because of Laravel compatibility. Hence it makes your admin panel can be flawless and writing custom components is a cinch. 9. Laravel & Vuejs: A Miraculous Combination for Perfect Web Applications With 72% of the market share, PHP is one of the most popular and widely used programming languages. Laravel is a powerful Model-View-Controller based PHP framework for all of the web artisans. This open-source PHP framework was created for creating full-featured websites. It is the best choice for web app developers who seeks expressive, simple and elegant toolkit in order to create elegant applications with a good speed. The founders of Laravel value elegance, simplicity, and readability more than anything and designed this PHP framework upholding these values. It is PHP’s fastest-growing framework owing to its scalability, ease of use, and
flexibility. 10. Running Multiple Docker Containers With Custom Config Files Many of us using Docker to make our lives easier have ran into the issue of conflicting ports due to running more than 1 docker container. It’s easy to get bogged down into changing config files and squander an entire afternoon. I intend to write this article as a reminder to my future self whenever I need to set up multiple instances of docker container on a single machine. 11. Implement Live Video Streaming in a Laravel PHP Web Application Using LiveKit The Auction Events Platform for Creators is a Laravel PHP web application streaming live video from an auction event, using the LiveKit. 12. An SPA GUI Session as a Non-HttpOnly Cookie Are you writing a single page application or SPA? If so, you'd probably want to store some session data in the user's browser in order to keep track of the GUI's state. 13. How to set up your local projects to contribute to Laravel (or any PHP library) : a practical guide Let’s imagine this scenario: You are working on a Laravel application, and you found a bug either in the framework itself or in one of the third party libraries you are using. You edit the code inside your project, or maybe you installed a fresh copy of Laravel and library that has the issue, and you edited the code there. You saved the changes, but when you went to your terminal to commit the changes, GIT just ignored what you did. You start wondering “What’s happening here?”. 14. How to Setup a Powerful PhpStorm Configuration to Improve Laravel Development By just having the right IDE setup — you can learn and grow, meanwhile producing quality code and software. 15. How to Secure Your Laravel Application Nowadays, the tools we use to browse the internet require us to follow security standards. Otherwise, they tend to flag our web applications/sites as insecure. 16. Writing CASL React Abilities in a JSON File With a Laravel Artisan Command When writing a single page application or SPA you might inadvertently end up duplicating code because at the early stage of any project it is quite common to ask yourself so many questions. 17. Choosing Between Ruby on Rails and Laravel for App Development [A How To Guide] When you are looking for a software development partner for your app idea you obviously want to make sure, that your product will be developed in the best technology possible. 18. Laravel Real-Time Monitoring Using Inspector Hi, I'm Valerio, software engineer from Italy. 19. 14 Reasons Why Laravel Is The Best PHP Framework! The choice of which framework to use while developing an application depends on many factors, but just like any other application framework, Laravel does have its pros and cons. Leaving inside the hate, I would like to focus on the advantages of using the Laravel framework. Before I jump into the magic of Laravel, I would like to discuss why you would use a framework for developing an application in the first place. What are the potential pitfalls of not using a framework and developing everything on your own? 20. Evaluating Swoft — A PHP Microservices Framework Swoft is a PHP high performance microservice co-routine framework. 21. 10 Use Cases for Using Laravel to Build Web App Development Projects It’s no secret that PHP is sometimes considered a “low-barrier-to-entry” programming language. Laravel is a phenomenal framework and it scores better than most. 22. Make your Product Ready to Scale Using Laravel Queues This guide is for all PHP developers that need a deeper understanding of how to introduce background Jobs in a Laravel application. 23. Validate Your PHP API Tests Against OpenAPI Definitions – A Laravel Example Am I proud of this montage? You bet I am (by the author) 24. How to Write Raw SQL Query Migration in Laravel We have created a laravel package to keep the track of raw SQL migration using package Laravel raw sql query migration 25. How to Build Resumable File Uploads into Your Web Apps With Tus, Laravel and Uppy A guide on how to implement resumable uploads in PHP with TUS, TUS-PHP and Uppy 26. A Better Way to Monitor Your Laravel Services Kubernetes or auto scaling can create a bit of mess in your monitoring data. Learn how to monitor your Laravel application by services instead of hostnames. 27. How to Add React.js to Laravel How to add ReactJS to your Laravel project 28. "Specified key was too long; max key length is 767 bytes" Error in Laravel One of these issues you might stumble across using the PHP framework Laravel is this one: 29. Laravel Homestead: Why, How, and When to Use It In Developement How to replicate your production environment in your local machine with a few configuration. 30. Building an Inventory Management App Using Vue.js and Laravel This article originally appeared on the Cosmic JS Blog. 31. How to Setup a Local Environment for Laravel Development With PHP, Node.Js, MySQL And Redis In this part of my series, we will install a minimum viable local environment for Laravel development. 32. Turn Your IDE Into a Powerhouse for Laravel Development With These Plugins for PhpStorm I will cover plugins that I use and recommend for your PhpStorm installation. 33. Explore the Value of Custom Rules and Data Validation (With Laravel) in Inspector The value a software provides to users is often a function of the quality of data it is able to manage. 34. Dockerize Your Laravel Project in a Jiffy The easiest way to dockerize your Laravel project. you can set up Laravel in just 10 minutes... 35. A Complete Guide to Laravel Sail This post is about what to expect from Laravel Sail, how it works and how to make the most of it; it is also a plea to developers to break away from it. 36. Django vs. Laravel: A Beginners Guide Django is a straightforward option to pick up and offers a backend customized according to the users' needs. 37. Scaling Laravel Applications with Octane Laravel Octane is a great way to scale your Laravel application. It's easy to use and can improve performance without needing to make changes to your codebase. 38. The Pure Laravel Playbook It used to be the case that when you program a Laravel project, you program in PHP within the Laravel framework, and then have Vue.js or some other front-end framework at the front-end. 39. What's New in Laravel 10: A Peek at New and Upcoming Features What to expect in laravel 10: An overview of upcoming features and changes. Laravel v10 is the next major version of Laravel after Laravel v9 and laravel v8 40. Why You Should Use Laravel PHP Framework for Web Development Comprehensive guide to web development using laravel framework. 41. What You Need to Know About Ruby on Rails to Start Developing Your First Application Ruby on Rails is a framework based on Ruby programming language, it is mainly used for web development. what do you need to know about it? 42. How Deemples CEO David Wong built the largest golf app in Malaysia Deemples was nominated as one of the best startups in Kuala Lumpur in Startups of the Year hosted by HackerNoon. Here's an interview with its CEO. 43. The 10+ Best Tools For Laravel Developers🛠 Check out the best tools for Laravel developers to boost the workflow. 44. Django Vs Laravel: The Ultimate Comparison Guide (2022) Are you looking for a comparison and an ultimate guide for Django vs laravel? You got the final destinations with features and benchmarks. 45. Find out Whether Model Observers in Laravel are a Bad Practice Keep your Model Observers in Laravel under control. 46. Configuring Developer Tools and Packages Within PhpStorm For Laravel In this article, we will also go over and configure anything exclusive to PhpStorm. We start by setting some good defaults, that help with automated code format 47. Laravel Vs Symfony: Answering All The Questions To Make a Better Choice PHP is highly popular, and needs no introduction. But, so are the frameworks, Laravel, and Symfony. This blog shares detailed insights on the two. 48. An Auction System Needs a Central Clock An Auction Runs by A Clock 49. How to Generate Sitemaps Using Laravel on the Fly First things first: What is a sitemap? 50. A Complete Guide to Laravel Sail Laravel Sail is a powerful tool for managing Laravel development environments, making it a great choice for both solo developers and teams. Get more details. 51. How to Handle All PHP Errors Sometimes your PHP application might produce many different types of earnings. 52. How to Spot N+1 SQL Query Problems Early for Laravel Projects My top favorite tools for spotting N+1 problems in database queries for Laravel projects. 53. Replace Comments With Better Code Hi, I’m Valerio, software engineer from Italy. 54. Adapter Design Pattern: Adapt Everything With Your Codes When we start building software, we can see many code's incompatibilities. This is because of many codes have been written based on different contracts. 55. Dirty Jobs: Debugging Till the Last Minute Debugging in practice means getting lost on tangents, trying to look good in front of your subordinates and doing just a little bit of debugging on the side. 56. Using ReactPHP to Stream Media A design for a streaming media server using ReactPHP and Laravel. 57. Using Components in Laravel: A Gentle Introduction In recent Laravel projects that I have been working on, I noticed that I reuse a lot of UI components on the same project but also on other coding projects. 58. Make Your Application Scalable Optimizing the ORM Performance In this article I would share a set of ORMs optimization strategies that I'm using in almost every backend service I'm working on. 59. Extending Laravel Artisan Commands 60. Laravel Real-Time Controllers Monitoring with Inspector-Laravel Package Hi, I'm Valerio, software engineer from Italy and CTO at Inspector. 61. Composer Packages that Every Laravel Developer Must Have I believe developers of middle and senior levels should always use these must-haves processes with at least one external data store. 62. Laravel Background Processes Analytics with Inspector In this article I would show you how to turn on analytics in the dark side of your application: "background Jobs and scheduled Artisan commands execution". 63. Development-Friendly Laravel Tools & Resources You can improve your productivity in Laravel by using these developer-friendly tools and resources to cut down on time spent on tedious, avoidable tasks. 64. Laravel Application Development: Introduction, Capabilities, and Websites If there is a framework that offers an exceptional platform for building robust web applications in PHP, it’s Laravel. Launched in 2011, the app development framework quickly started gaining ardent followers and became the most starred PHP framework on GitHub in 2015. 65. Step by Step Guide to Build the Laravel Web App Step by Step Guide to Build the Laravel Web App 66. Setting Up Laravel Unit and Security Tests This article provides a detailed explanation of Laravel Unit and Security Tests for web applications built using the Laravel framework. It explains the process 67. Rails and Laravel Explained With Basic MVC Structure Ok, first of all, this isn’t an article about which framework is better since they have different base languages. 68. An Introduction to Docker for Web Development This is the introduction to a series that was originally published on tech.osteel.me. Only the introduction was brought to Hacker Noon — links to other parts will take you to that other website. 69. How to Monitor a Bagisto e-commerce in Real-Time using Inspector Hi I'm Valerio, software engineer from Italy and CTO at Inspector. 70. Laravel 8 Features That You Should Know This blog talks about why Laravel 8 deserves another look because of several features that makes it perfect for web development. 71. A Guide to Setting up Laravel in Ubuntu Laravel is a very popular open-source PHP framework aimed at easy development of applications. If you are looking for a new PHP framework, you should give Laravel a try. 72. Set Up Laravel 6 on Google Cloud Run  with Continuous Integration [Step-by-Step Guide] Laravel has soared in popularity in the last few years. The Laravel community even says that Laravel has made writing PHP enjoyable than a pain. Laravel 6 has some interesting new features. Getting a super scaleable working URL for your application take hours if not days. Setting up something like Kubernetes is a huge task. This is where Google Cloud Run shines, you can get a working HTTPs URL for any of your containerized app in minutes. 73. Paypal Integration Package Built With PHP I have built a component PayPal integration package using PHP Laravel framework. 74. How Laravel Web Development Can Grow Your Business in 2020 and 2021 PHP web frameworks are the most popular sources for web application development. Laravel web development is one of the most important technologies for web application because of the MVC architecture. 75. Explaining Laravel Package Ecosystem Packages play a big role in the Laravel scene. How big and which packages?
To find it out we took the data from the Packagist.org API and filtered out the
Laravel packages. 76. 40 Must-Known Laravel Tools and Resources Laravel learning resources 77. [A How To Guide] Planning the Technology Stack for an Event Sourcing Project The most common question I encounter when training or consulting with developers, Engineers and Software development laboratories about a new Event Sourcing project is how and where do we start. Thank you for checking out the 77 most read stories about Laravel on HackerNoon. to find the most read stories about any technology. Visit the /Learn Repo

77 Stories To Learn About Laravel

In 2021, hosted the first-ever awards!! HackerNoon Startup of the Year The goal of this campaign was to give recognition to the hardworking startups who pulled through the pandemic -- growing and thriving (despite all of the challenges). More than 44,000 startups were nominated all across the globe! They were selected from over 4,553 cities, with a total number of * cough * “4 billion” votes. Insane, right? To see who is a winner in each respective city, visit and pick a city. The name at the top of the list is the winner. (Compromised awards are under review. Cities with tie votes will be updated to have two winners!) startups.hackernoon.com The will announce the winners per region in their respective cities. Startups Winners Announcement series Here are the winners in the : Asia region Top Startup Cities in East Asia Seoul The Startup of the Year in is with 377 votes! Seoul dable Central is the Startup of the Year! It came out ahead with 121 votes. UpNow Central Sheung Wan came out as the Startup of the Year in with 154 votes. Votee Sheung Wan Tokyo The Startup of the Year in is with 41 votes! Tokyo ACES Wan Chai The Startup of the Year in is with 54 votes! Wan Chai Zetl Osaka, Japan In , is the winner! Osaka Nanophoton Taiwan came out as the Startup of the Year in ! Tico Taiwan Dongcheng, China In , is declared the Startup of the Year! Dongcheng Waiju Taipei came out as the Startup of the Year in ! Tico Taipei Akasaka In , is the winner! Akasaka WAKUWAKU Chuo In , is declared the Startup of the Year! Chuo GO-NET Ginza came out as the Startup of the Year in ! Netyear Ginza Kanazawa In , is the winner! Kanazawa Granzella Minami-aoyama In , is declared the Startup of the Year! Minami-aoyama Tokyo6 Entertainment Shibuya came out as the Startup of the Year in ! Hupro Japan Shibuya Toranomon In , is the winner! Toranomon Small Worlds Toshima In , is declared the Startup of the Year! 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Jiading IMRobotic Kawasaki, Japan came out as the Startup of the Year in ! QD Laser, Inc. Kawasaki Kyoto, Japan In , is declared the Startup of the Year! Kyoto Hacarus Minato, Japan In , is the winner! Minato Visionary Fun Nagoya, Japan came out as the Startup of the Year in ! Prodrone Nagoya Ningbo, China The winner in is . Ningbo OlymTech Corporation Aomori In , is declared the Startup of the Year! Aomori Forte Japan Bandai-cho In , is the winner. Bandai-cho Delta-Fly Pharm Changchun In , the Startup of the Year is . Changchun Kaidi Animation Fuchu In , is declared the Startup of the Year! Fuchu TMS Fukuoka-shi The winner in is . Fukuoka-shi SkyDisc Fukushima In , the Startup of the Year is . Fukushima Matsuri Technologies Gotanda In , is the winner. Gotanda Basset Hachioji In , is declared the Startup of the Year! Hachioji Adriakaim Harbin The winner in is J . Harbin oining Technology Iwaki In , is the winner. Iwaki Tao Engineering Izumo In , the Startup of the Year is . Izumo PuREC Kagoshima In , is declared the Startup of the Year! Kagoshima Farmers Support Kamakura In , the Startup of the Year is . Kamakura KAYAC Kami-meguro The winner in is . Kami-meguro Buzzreach Kanagawa In , is the winner. Kanagawa LoiLo Kashiwa In , the Startup of the Year is . Kashiwa Intelligent Surfaces Kita In , is declared the Startup of the Year! Kita Ax Robotix Kobe The winner in is . Kobe Coconomi Koriyama In , the Startup of the Year is . Koriyama Tocoton Kumamoto In , is the winner. Kumamoto Bloom Technology Kunitachi In , is declared the Startup of the Year! Kunitachi Trys Liaocheng The winner in is . Liaocheng Jinzheng Animation Minami In , is declared the Startup of the Year! Minami ATLAB Miyazaki In , is the winner. Miyazaki Caster Nagano In , is declared the Startup of the Year! Nagano Precision Forestry Nagaoka The winner in is . Nagaoka Plant Form Nihombashi-hamacho In , the Startup of the Year is . Nihombashi-hamacho Shizen Energy Niigata In , is declared the Startup of the Year! Niigata UniBio Japan Nishi-shinagawa In , is the winner. Nishi-shinagawa Play Heart Okayama In , is the winner! Okayama Arch Farm Okinawa In , is declared the Startup of the Year! Okinawa BlogNinja Otemachi In , the Startup of the Year is . Otemachi beBit, Inc Qingdao Shi In , is the winner! Qingdao Shi Manyoubang Quanzhou In , is declared the Startup of the Year! Quanzhou KungFu Animation Group Roppongi The winner in is . Roppongi Holo-X Saitama In , the Startup of the Year is . Saitama GameTector Sendai In , is the winner! Sendai Sendai Smart Machines Setagaya In , is declared the Startup of the Year! Setagaya Skyestate Shenzhen In , the Startup of the Year is . Shenzhen Aiator Shinjuku In , is declared the Startup of the Year! Shinjuku Scalar Shizuoka In , is the winner! Shizuoka PiPhotonics Sumida The winner in is . Sumida Holotch Tachikawa In , the Startup of the Year is . Tachikawa PlusOne Takamatsu In , is declared the Startup of the Year! Takamatsu Ken Robotec Tokushima In , is the winner! Tokushima DennoKotsu Toyonaka In , the Startup of the Year is . Toyonaka FISH BIOTECH Tsukuba In , is declared the Startup of the Year! Tsukuba WARPSPACE Wakayama In , the Startup of the Year is . Wakayama 4D Sensor Xiangzhou In , is the winner! Xiangzhou ALLiN Edutech Group Xianyang The winner in is . Xianyang TONLY Xiaoshan In , is declared the Startup of the Year! Xiaoshan GONGHUI Yamaguchi In , the Startup of the Year is . Yamaguchi Archis Yangpu The winner in is . Yangpu Tmxmall Yau Tsim Mong In , is the winner! Yau Tsim Mong Airnugget Yeoksamdong In , the Startup of the Year is . Yeoksamdong WizSchool Yichang In , is declared the Startup of the Year! Yichang Hubei Kento Electronic Yokohama In , is the winner! Yokohama Next Innovation Yubei In , the Startup of the Year is . Yubei Ophiux Network Yueqing The winner in is . Yueqing Yueqing Easythink Media Zhuhai In , is the winner! Zhuhai Aijuba Hongo In , the Startup of the Year is . Hongo Smile Robotics, Inc Admiralty In , is declared the Startup of the Year! Admiralty BUNCH Southern In , the Startup of the Year is . Southern Retykle Yongdungpo In , is the winner! Yongdungpo Push News Taichung In , is declared the Startup of the Year! Taichung Wondercise Cyberport, Hong Kong In , the Startup of the Year is . Cyberport Animoca Brands Hefei, China In , is the winner! Hefei Tsinglink New Territories, Hong Kong The winner in is . New Territories, Hong Kong Zeek Dezhou In , the Startup of the Year is . Dezhou Dezhou Baji Kitakyushu In , is declared the Startup of the Year! Kitakyushu Reif Seongnam In , is the winner! Seongnam EOFlow Yanshi In , the Startup of the Year is . Yanshi CASI Vision Top Startup Cities in South Asia Hyderabad, India The Startup of the Year in is with 962 votes Hyderabad Quixy Lahore, Pakistan is the Startup of the Year! It came out ahead with 186 votes. SmartWindows Lahore Bangalore, India When it comes to , is the Startup of the Year with 210 votes! Bangalore vBridge Hub Pune, India couldn’t be beaten for Startup of the Year in , it won with 129 votes! InfraCloud Pune Jaipur, India The Startup of the Year in is with 166 votes Jaipur Emizen Tech Lucknow, India is the Startup of the Year! It came out ahead with 279 votes. Keeros Superfoods Lucknow Noida, India came out as the Startup of the Year in with 156 votes! Bagisto Noida Mumbai, India When it comes to , is the Startup of the Year with 96 votes! Mumbai Sequretek Sylhet couldn’t be beaten for Startup of the Year in , it won with 122 votes! DataXpie Sylhet Mylapore, India In , is the winner! Mylapore Yalimart Goa, India In , the Startup of the Year is Goa Filter Coffee Delhi, India In , is declared the Startup of the Year! Delhi EkAnek Networks Karachi, Pakistan The winner in is Karachi Bykea Ahmedabad, India In , is the winner Ahmedabad MageComp Dhaka, Bangladesh The winner in is Dhaka SOLshare Islamabad, Pakistan In Islamabad, is declared the Startup of the Year! TAG Gurgaon, India In , the Startup of the Year is Gurgaon ixigo Bengaluru, India In , is the winner! Bengaluru Prakshep Private Limited Haryana, India couldn’t be beaten for Startup of the Year in ! Footprints Childcare Haryana Kolkata, India In , is the winner! Kolkata Wow! Momo New Delhi, India In , is declared the Startup of the Year! New Delhi Rusk Media Indore, India The winner in is Indore Chattar Patar Kormangala In , is the winner Kormangala Sanctum Technologies Ghaziabad came out as the Startup of the Year in Craftfurnish.com Ghaziabad! Mohali In , the Startup of the Year is Mohali DataKund Mysore The Startup of the Year in is Mysore Excelsoft Karnal came out as the Startup of the Year in ! Dunar Karnal Kolhapur In , is the winner! Kolhapur Zanvar Group Patiya In , the Startup of the Year is Patiya Kloud Project Kathmandu In , is declared the Startup of the Year! Kathmandu Vairav Technology Bangalore City, India In is the winner! Bangalore City, PagarBook Ernakulam The winner in is Ernakulam Epixel Solutions Colombo, Sri Lanka couldn’t be beaten for Startup in the Year in MAs Foods Colombo Andheri, India When it comes to , is the Startup of the Year! Andheri DoorMint Kanpur, India came out as the Startup of the Year in ! ServiceWalaa Kanpur Faisalabad In , is the winner! Faisalabad DigiKhata Nasik The Startup of the Year in is Nasik Sahyadri Farms Patna came out as the Startup of the Year in ! Asvin Tech Patna Chennai, India In , is the winner! Chennai Agnikul Cosmos Faridabad, India In , is declared the Startup of the Year! Faridabad UClean Panjim, India The winner in is Panjim TempoGO Ranchi, India In , is the winner Ranchi Osam Dairy Surat, India In , is declared the Startup of the Year! Surat Wishbook Thane, India In , is the winner! Thane Delight Foods Trivandrum, India came out as the Startup of the Year in ! GenRobotic Trivandrum Vijayawada, India In , the Startup of the Year is Vijayawada Eruvaka Technologies Visakhapatnam, India In , Ltd is declared the Startup of the Year! Visakhapatnam Greenline Labs Pvt Ahmadabad In , is the winner! Ahmadabad KiwiQA Services Bandra came out as the Startup of the Year in ! Car Club Bandra Bombay In , is the winner! Bombay Locobuddy Mobile Technology (Sportobuddy) Cochin In , the Startup of the Year is Cochin Tuttifrutti Interactive Gandhinagar In , is declared the Startup of the Year! Gandhinagar Kroop AI Guwahati In , the Startup of the Year is Guwahati GNRC Hospitals Jamshedpur In , is declared the Startup of the Year! Jamshedpur Intelliber Kabul The winner in is Kabul Miracle Shop (Vocinno Technology) Karur In , is the winner Karur Karur Vysya Bank Kochi The winner in is Kochi BestDoc Kozhikode In , is declared the Startup of the Year! Kozhikode OfficeKit HR Ludhiana In , the Startup of the Year is Ludhiana Trendy Beat Network Madhapur In , is the winner! Madhapur Head Digital Works Mangalore When it comes to , is the Startup of the Year Mangalore Hangyo Nagpur came out as the Startup of the Year in ! UPrudence Agro Nagpur Rawalpindi The Startup of the Year in is Rawalpindi Pro Options Marketing Rishikesh came out as the Startup of the Year in ! Descatuk Rishikesh Secunderabad couldn’t be beaten for Startup of the Year in Prakriti Biosystems Engineering Secunderabad Tirupur In , is the winner! Tirupur Tubeknit Fashions Udupi The winner in is Udupi Krishitantra Top Startup Cities in Southeast Asia Singapore, Singapore The Startup of the Year in is with 6556 votes! Singapore Cake DeFi Hanoi, Vietnam is the Startup of the Year! It came out ahead with 683 votes. DeFi For You Hanoi Kuala Lumpur, Malaysia came out as the Startup of the Year in with 109 votes! Trambellir Kuala Lumpur Pasig, Philippines When it comes to , . is the Startup of the Year with 110 votes! Pasig Quickreach Inc Bangkok, Thailand couldn’t be beaten for Startup in the Year in , it won with 60 votes! Perception Codes Bangkok Johor Bahru In , the Startup of the Year is . Johor Bahru AGR1 Bandung, Indonesia In , is declared the Startup of the Year! Bandung Prosa Portugal The winner in is . Portugal SCEMAI Tangerang, Indonesia In , is the winner Tangerang Yummy Corp Jakarta, Indonesia In , is the winner! Jakarta Tokocrypto Dki Jakarta, Indonesia In , is declared the Startup of the Year! Dki Jakarta Limakilo Bangkok Metropolis In , is the winner! Bangkok Meticuly Medan The winner in is ! Medan DIKA Manila, Philippines In , is declared the Startup of the Year! Manila PawnHero Phnom Penh, Cambodia In , the Startup of the Year is Phnom Penh vKirirom Bali In , is the winner! Bali Radius App Penang When it comes to , is the Startup of the Year Penang EasyParcel Surabaya came out as the Startup of the Year in ! Super Surabaya Setiabudi, Indonesia The Startup of the Year in is Setiabudi Chilibeli Cebu City came out as the Startup of the Year in MiCab Cebu City! Jawa couldn’t be beaten for Startup in the Year in DAUR Jawa Ho Chi Minh City, Vietnam In , is the winner! Ho Chi Minh City Pharmacity Selangor, Malaysia is the Startup of the Year! BabyDash Selangor Jakarta Pusat, Indonesia In , is the winner! Jakarta Pusat StickEarn Semarang When it comes to , is the Startup of the Year! Semarang Food Bear Petaling Jaya, Malaysia The winner in is . Petaling Jaya Deemples Kebayoran Baru, Indonesia couldn’t be beaten for Startup in the Year in ! Yogrt Kebayoran Baru Kuningan The winner in is . Kuningan Prinzio Bukit Merah came out as the Startup of the Year in ! DC Alliance Bukit Merah Huai Khwang In , the Startup of the Year is . Huai Khwang AppMan Co.,Ltd Kuta In , is declared the Startup of the Year! Kuta Gringgo Mandaluyong came out ahead as the Startup of the Year! Work Inspire Mandaluyong Midview City In , is the winner! Midview City BioMers Phuket The Startup of the Year in is ! Phuket Sapahn Yangon, Myanmar The winner in is . Yangon Wave Money Denpasar When it comes to , is the Startup of the Year! Denpasar Revasi Nakhon Ratchasima, Thailand The winner in is . Nakhon Ratchasima Siam Lottery co., Ltd Taguig, Philippines In , is the winner! Taguig PayMongo Bogor came out as the Startup of the Year in ! TIRANYX Bogor Senai, Malaysia won as the Startup of the Year. Nutrition Technologies Senai Bekasi Kota couldn’t be beaten for Startup in the Year in ! 8villages Bekasi Kota Top Startup Cities in Middle East Tel Aviv, Israel The Startup of the Year in is with 1,065 votes! Tel Aviv hyro Beirut, Lebanon is the Startup of the Year! It came out ahead with 1,276 votes. Hovi Digital Lab Beirut Riyadh, Saudi Arabia With 350 votes, came out as the Startup of the Year in ! Flicron Riyadh Tel Aviv-yafo, Israel When it comes to , is the Startup of the Year with 167 votes! Tel Aviv-yafo Cymbio Haifa, Israel couldn’t be beaten for Startup in the Year in , it won with 183 votes! Pico Haifa Amman, Jordan In , with 141 votes, is the winner! Amman Edexy Dubai, United Arab Emirates In , the Startup of the Year is with 74 votes. Dubai Ziina Doha, Qatar In , is declared the Startup of the Year! Doha SkipCash Tehran, Iran The winner in is . BeyondBoard AR Tehran Jerusalem, Israel In , is the winner! Jerusalem SolidBlock Rishon Le Zion The Startup of the Year in is ! Rishon Le Zion Passparto Ness Ziona, Israel is the Startup of the Year! Soapy Ness Ziona Kuwait, Kuwait came out as the Startup of the Year in ! Brapper Shop Kuwait Manama, Bahrain couldn’t be beaten for Startup in the Year in ! Doctori Manama Lod, Israel is the winner in ! Phinergy Lod Agudat Israel, Israel When it comes to is the Startup of the Year with [vote ] votes! Agudat Israel, Aqaurius Engines Beersheba, Israel In , the Startup of the Year is . Beersheba Visual Estate Ltd Giv'atayim, Israel In , is declared the Startup of the Year! Giv'atayim WSC Sports Modi'in, Israel The winner in is . Modi'in Loginno Nazareth, Israel In , is the winner! Nazareth AR Guide In Medical Ramat Gan, Israel The Startup of the Year in is . Ramat Gan Datos Health Baghdad When it comes to , is the Startup of the Year! Baghdad Mishwar Khobar In , the Startup of the Year is . Khobar Garage Misgav couldn’t be beaten for Startup in the Year in ! Eden Shield Misgav Sharjah came out as the Startup of the Year in ! Bookends Sharjah Affula In , the Startup of the Year is . Affula eMotion Technologies Bene Beraq, Israel In , is the winner Bene Beraq Reflectiz Caesarea, Israel In , the Startup of the Year is . Caesarea CardiacSense Dubayy In , is declared the Startup of the Year! Dubayy North Ladder Muscat couldn’t be beaten for Startup in the Year in ! iLab Marine Muscat Tirat Carmel In , the Startup of the Year is . Tirat Carmel PassCall Advanced Technologies Hod Hasharon, Israel The winner in is . Hod Hasharon Idomoo Holon, Israel came out ahead as the Startup of the Year! OptimalPlus Holon Jeddah, Saudi Arabia When it comes to , is the Startup of the Year! Jeddah Arabian Combustion Technologies Ramat Hasharon, Israel is the Startup of the Year! Lumen Ramat Hasharon Al Khobar came out as the Startup of the Year in ! Swyft Al Khobar Bet Shemesh In , is the winner! Bet Shemesh Degania Medical Binyamina When it comes to , is the Startup of the Year! Binyamina OncoHost Makkah In , the Startup of the Year is Makkah Scimagine Or Akiva Last but not least, couldn’t be beaten for Startup in the Year in the city of ! WMT Or Akiva More Information: If you’re a winner, please answer ! If you’re a reader, participant, just a curious individual, consider answering one of our interviews . this interview here Read the FAQs about or . Startups here here To see all of the winners you may visit , pick any city and view the name that appears at the top. this site If you’re interested in partnering with us, we invite you to look through some of these or reach out to our business department. unique sponsorship options Perhaps creating your very own tickles your fancy or maybe you have a whole new idea for how we can partner! writing contest Thank you to all of our sponsors! We truly appreciate your contribution to the tech world and thus the future! The Startups Awards are sponsored by: , , , , , , , , , , Blockster Brex FreeCodeCamp LaunchDarkly Coil Udacity Udemy Vercel Asia Pacific Transgender Network Bybit Everscale Network The post was written by Kushal Tamrakar and Valerie Ejegi, edited by Hang Ngo. If you have any questions or concerns or would like to report a discrepancy please email ellen@hackernoon.com.

Meet the Winners of Startups in Asia

$SHIB: My Journey Through the Deepest Recesses & High Command of a $10 Billion Decentralized Army

Along with my team, I’ve been involved in a project called , a novel approach that uses Deep Learning to identify marine-plastic and I wanted to share the findings: DeepPlastic 85% mean-average precision! Using our model, we can now detect on average 85% (mAP) of all epipelagic plastic in the ocean. We achieve this level of precision based on a Neural Network architecture called . Below we’ve attached a video containing examples of marine plastic that we’ve run our model on: YOLOv5-S Where’s the Paper and The Code? This article would mainly serve as a no-code summary of our research paper. If you’d like to skip straight to the nitty-gritty details of the neural network or the code, you can access them here: arxiv pre-print: https://arxiv.org/abs/2105.01882 Codebase and Dataset: https://zenodo.org/record/5562940#.YY1uML3MI-R If you’d like me to write another blog post explaining the code, data augmentation, etc., let me know in the comments below! How Did I Get Involved In This? I’ve always been passionate about the oceans. After graduating from school at California State University, Monterey Bay, I knew that I wanted to build tools/software that can help protect the ocean. After I collected, annotated, and curated the data along with the model, I realized that the precision metrics were significant, and there could be a manuscript that could be published here. So, I asked for help from , an expert in Marine plastics, and and for help with the writing and publishing of the manuscript. Dr. Sara-Jeanne Royer Jay Lowe Olivier Poirion Abstract The quantification of positively buoyant marine plastic debris is critical to understanding how concentrations of trash gather across the world’s oceans and identifying high concentration garbage hotspots in dire need of trash removal. Currently, the most common monitoring method to quantify floating plastic requires the use of a manta trawl. Before analysis, the need for physical removal incurs high costs and requires intensive labor–preventing scalable deployment of a real-time marine plastic monitoring service across the oceans. Without better monitoring and sampling methods, the total impact of plastic pollution on the environment as a whole, and details of impact within specific oceanic regions, will remain unknown. This study presents an automated workflow that utilizes videos and images captured within the epipelagic layer of the ocean as input and produces real-time quantification of marine plastic for accurate quantification and removal. YOLOv5-S was the best performing model, which operates at a Mean Average Precision (mAP) of 0.851 and an F1-Score of 0.89 while maintaining near real-time speed. In addition, our method can utilize” off the shelves” camera equipment and standard low-cost GPUs to monitor/quantify epipelagic plastic in near real-time. Goal For The Project We wanted to build a generalized object detector capable of identifying and quantifying sub-surface plastic around the world. Now that we understand our goal and how to achieve it, let us jump into the workflow. Curating The Dataset Finding a dataset that contained annotated pictures of marine debris was incredibly hard. There was no dataset in existence that had images of marine plastic in the epipelagic layer of the ocean. So, I decided to create one. I bought a GoPro Hero 9, A wetsuit, and snorkeling equipment and headed out to various locations in California along with 2 Plastic bags and 2 Plastic Bottles. The locations I visited were: Lake Tahoe, Bodega Bay, San Francisco Bay. Here, I shot videos of the plastic in 4K and later broke them into images frame-by-frame. [All plastics used were sanitized and were removed from the environment after I finished capturing the videost] The initial dataset was more than 100,000 images which I then painstakingly went through one by one and chose the best images and annotated them using supervise.ly. The final dataset, along with images scraped from the internet, was a whopping 4000 images. I tried my best to replicate real-world scenarios such as occlusion and brightness by burying objects in sand or placing them across from the sun. ( ) Photo by on ; ( ) Photo by on ; ( ) Image by Author Bottom Right Naja Bertolt Jensen Unsplash Top Right Nariman Mesharrafa Unsplash Top Left, Bottom Right Data Formatting Images were resized into 416x416 and converted into the format the Darknet and YOLOv5 PyTorch require. Data Augmentation Since the final dataset only contained 4000 images, I thought the best way to increase the size of the dataset was to augment it. So, I used Flip, Rotate, Brightness to replicate oceanic environments. I also used B&W to make the model not generalize towards color and cutouts to simulate occlusion. Building the Neural Network Building a Neural Network was a straightforward task. I had two goals for model selection: The model had to be somewhat accurate, and the model had to be fast. Fast enough to be used on Buoys and UAVs. I tried many models, such as Faster R-CNN, EfficientDet, SSD, etc., but stuck with two models: YOLOv4-Tiny and YOLOv5-S. Interested in a code run down for YOLOv5? Let me know in the comments below or reach out to me. Things to know/Tuning Hyperparameters: I used an called ADAM to set a decaying learning rate.Used a package called (Weights and Biases) and continuously monitored the loss.I used a as the final layer and only used called trash_plastic.I used paperspace.com and Google Colab pro with to train the model.Used transfer learning from weights trained on and Adaptive Learning Rate W&B softmax a single class NVIDIA v100 GPUs Underwater Scenes Deep Sea Debris — JAMSTEC JEDI Dataset. All the code used for the models including architectures can be found at , YOLOv4 YOLOv5 Interested in our code? Find it here Results After a lot of experimenting with training methods, data augmentations, and fine-tuning hyperparameters, we finally reached a point where the results were good enough to be used in real-world deployments. Best model : Precision: 96%, Mean-Average-Precision: 85%, F1-Score: 0.89, Inference Speed: 2.1 milliseconds/img. YOLOv5-S Photos by , ( ) Photo by on ; All Other Images by Author (Bottom Row) JAMSTEC JEDI (Second Row First Image) Bottom Right Naja Bertolt Jensen Unsplash What’s Next? At the moment, we are in the process of getting our paper published. We are trying to get the model in the hands of other researchers for testing and developing innovative ways to synthesize more data. If you’re interested, want to contribute, or want to chat, You can reach me here: . gautamtata.blog@gmail.com This article was first published here

How Deep Learning Can Help Quantify, Monitor, and Remove Marine Plastic: The DeepPlastic Way

How Not to ‘Overfit’ Your AI Learning by Taking Both fast.ai and deeplearning.ai courses Data science and artificial intelligence might be the hottest topic in tech right now, and rightfully so. There are tremendous breakthroughs both on application level and research fields. This is a blessing, and a curse, at least for students and enthusiasts that want to break into this area. There are too many algorithms to learn, too many coding/engineering skills to hone, and way too many new papers to keep up with even if you felt you’ve mastered the art. The journey is long, the learning curve is steep, the strife is real, yet the potential is so great people still flock into it. The good thing is we also have great educators and instructors working on mitigating the pain and make the process a little less harsh and a bit more fun. We’ll explore two of the greatest among them and share a potentially effective approach to help you swim through the sea of Data Science a bit happier. AI Learning ‘Burn-out’ If you list what one needs to learn to become an ‘OK’ data scientist or machine learning engineer, it could be scarily long: Linear Algebra, Calculus, Statistics, Algorithms, … Math: Python, R, SQL/NoSQL, Hadoop, Spark, Tensorflow/PyTorch, Keras, Numpy, Pandas, OpenCV, Data Visualization… Coding: Linear Regression, Logistic Regression, Support Vector Machine, PCA, Anomaly Detection, Collaborative Filtering, Neural Network, CNN, RNN, K-Means, NLP, Deep Learning, Reinforcement Learning, AutoML, … Algorithms: Command Line, Cloud platform(AWS, GCP, Asure), DevOps, Deployment, NGINX/Apache, Docker… Engineering: The list can easily make the head spin for a person just entering the filed. Yet, it is still just scratching the surface. Some people make and dive right into it. Some lost momentum and felt totally under the water and the exit is nowhere to be seen. What went wrong? an ambitious plan You ‘Overfit’ Yourself Overfitting is a very familiar idea for anyone that knows a bit of Machine Learning. It basically means your algorithm learned ‘too much’ of the data and buried itself into the little details of the data-set and missing the big picture. Come to think of it, sometimes when we learn something, we dive so deep we forgot why we were learning it and how it will fit into the big picture. It’s something I’d like to call ‘overfitting’ your own learning. This happens especially often for people coming from academia background. A math Ph. D. tends to make sure all the theorems are fully understood before proceeding to the next one. This is great for learning math. Have a profound understanding of theories will give you great intuition and confidence. It will enable you to see patterns and issues people without the training cannot see easily, yet Data Science demands more. Theory aside, there is also a practical part to it. A properly applied algorithm coupled with efficient codes, carefully tuned hyper-parameters, and well-designed pipeline will usually achieve decent results, but not algorithm alone. Delve down too deep into theory, and you risk missing the practical side of the learning. It’s equally important to accumulate experiences on how to implement what you learned and handle real-life complexities. How to address this? Entering deeplearning.ai and fast.ai courses. Deeplearning.ai and Fast.ai A lot of courses have been developed to help navigate people through the learning process. Among them, Deeplearning.ai and fast.ai are two unique ones that have their own approaches and can give us some insights into a potentially effective way of learning Data Science. deeplearning.ai is a paid course developed by . , it is known for its well-designed learning curve, calm and smooth teaching style, and challenging while fun assignments. It is well accepted as the Deep Learning course one cannot go wrong with. It starts from the fundamental theories and works its way up on how to put all the pieces together to solve real-life problems. It’s also called a ‘Bottom-up’ approach. deeplearning.ai Andrew Ng Like his other courses fast.ai fast.ai is introduced by and as a free course to teach people with basic coding experience state-of-the-art deep learning techniques. Without much explanation of the underlying theories, with very few lines of code, student of fast.ai is capable of achieving astoundingly great results on its own domain quickly into the lessons. (I built a rate and after finishing lesson 1 of fast.ai course.) It teaches you how to tackle the real-world problem first, then digs deeper and deeper into how and why things work. It’s also called a ‘Top-down’ approach. Jeremy Howard Rachel Thomas Chinese Calligraphy Style Classifier that reaches 96% accuracy deployed it on the cloud Which One is the Best Approach? Both! So‘Bottom-up’ and ‘Top-down’, which one is better? Which one should we take? The answer is ! Both See, these two courses complement each other. Say you start from ’s deeplearning.ai course, you buried yourself into endless formulas and theories, you gained a lot of intuition, but after weeks of learning, you still have nothing to show to your friends and not quite sure when you can apply your newly gained knowledge. Andrew Ng Your study on the machine learning fundamentals is getting diminishing returns. Your brain slows down and you start to feel boring. Now is the perfect time to start taking a lesson or two of the fast.ai course. With the help of the powerful fast.ai library and few lines of code, you’ll be able to build impressive models that solve real-life problems and even beat some state-of-the-art papers and competitions. Kaggle This will give your brain a totally different kind of stimulation and your heart more confidence and passion to delve deeper into why everything works. Once you built a couple of projects and ‘wow’ed your friends, you will be more motivated to learn more about the fundamentals, then you can go back to deeplearning.ai course and keep your study there. These two courses push each other forward, you can just rinse and repeat till you finished both. This forms a perfect learning circle. The best thing about taking both courses this way is once you finished both, you’ll be fully prepared. You have tons of projects built along the way from fast.ai course to showcase to potential employers and you also have the deep knowledge of how everything works or even published one paper or two to show your findings. You are now a well-rounded Data Scientist. How cool is that? Any feedback or constructive criticism are welcomed. You can either find me on Twitter or my blog site . @lymenlee wayofnumbers.com

Jeremy Howard’s fast.ai vs Andrew Ng’s deeplearning.ai - Are They That Different From Each Other?

An In-depth Review of Andrew Ng's deeplearning.ai Speciliazation

Deep has taken the world by storm and the juggernaut has kept rolling since early 2017. Learning As far as the core methodology goes, neural have been around since decades and convolutional neural networks and recurrent neural networks have been around since 15 odd years. networks What has changed suddenly you ask? GPUs and breakthroughs in automated systems like self driving cars. As Andrew Ng himself says, “I think the other reasons the term deep learning has taken off is just branding. These things are just neural networks with more hidden layers, but the phrase deep learning is just a great brand, it’s just so deep.” Developers all around the globe are heavily motivated seeing the innovation DL is driving in each and every sector. Every company is either pitching themselves as providing Artificial Intelligent solutions or a blockchain company. Quite frankly, these 2 things have become the Guitars and DSLRs which college going students use to impress people but very few take it to the next level. So how do we get our skin in the game? I will try to analyse some of the most popular and widely accepted online courses for deep learning as I have almost completed them (I am yet to finish Udacity’s NanoDegree’s RL part, which itself is a discourse on its own) and break them down in terms of the value they add versus the cost it takes out of you — time and money. all We will discuss about 4 courses in totality: Deeplearning.ai Specialisation — Coursera Deep Learning A-Z — Hands On Experimentation — (SuperDataScience) Udemy Applied AI with Deep Learning — IBM ( ) Coursera Deep Learning NanoDegree — Udacity Lets begin with a short intro to all the courses: Deeplearning.ai, Andrew Ng’s boat which leads us towards autonomous salvation is split over 5 courses covering NN, CNN, RNN and dedicated courses to hyperparameter tuning and ml project structuring. The courses contains 3–4 weeks respectively(except course 2 and 3) which contain as many quizzes and programming assignments in python hosted on coursera’s jupyter hub. DeepLearning A-Z on Udemy provided by folks at superdatascience.com is a 23 hour rigorous course which splits the course into 3 parts : Supervised learning(ANN,CNN,RNN), Unsupervised Learning( SOM, Boltzmann Machines, Autoencoders) and some basic ML referesher and data preprocssing techniques and templates. Applied AI with Deep Learning by IBM is focused more towards the IoT/ production level design of deep learning systems with introduction to various frameworks like deeplearning4j, systemml and tools like Apache Spark and IBM Bluemix platform which makes exploring deep learning on real time data. Its a 4 week course which covers a lot in lost less time. Udacity’s Deep Learning Nanodegree covers everything from NN to GANS and previously was marketed as a foundations course but they added Reinforcement Learning and dropped the former name. Contains rich video content and hands on mini segments which are presented in the form of self paced jupyter notebooks. Assignments are reviewed and mentors are also assigned for a personalised touch. So, after a brief introduction to all the nominees for the Best Course on Deep Learning, the Oscar goes too… Hold on, lets take this to the jury room. From a learner’s perspective, I came up with an evaluate-tionary framework of auto M.A.T.I.C.S ( oney ssignments ime ntuition ontent upport) M A T I C S - Registered in the state of Beliefotopia. All hail our saviour Geoff Hinton and his scribe Yann Lecun. Good things come to those who wait and the metric goes in the increasing order of relevance as well, so stick around! You are not the only one with fancy acronyms, Marvel! Lets discuss all these points with the perspective of students(S) and working professionals(P) oney 1) M S: — Coursera is known for the it has in place to help students not only get its content but also get certified for the course for full or partial payments. Udemy’s courses are comparatively very cheap (Less than $20) and the content might be available on the internet if you look . Udacity is probably the only one which provides free alternative to its nanodegree course content but then it charges $300–$500 dollars for its nanodegrees for the personalized code reviews and mentors. financial aid system closely P: — If your company is paying for your courses as part of L&D policy, I’d say do them all! If its your own pocket through which you are looking to pay then I’d suggest having Coursera’s $49 per month full access to their catalogue. Udemy is just a day’s salary for you and Udacity probably worth 2–3 weeks. Here’s a free certificate for your resume courtesy John Oliver Verdict:- If you don’t want but only knowledge then audit coursera courses, skip udacity nanodegree and be a pirate, harry! Else, shell out some bucks for the course creators’s hardwork and be a responsible student. certificates ssignments 2) A Udacity beats everyone in terms of assignment quality and code reviews. Andrew Ng has provided some cool Ipython notebooks but I must say, the assignments are not at all intuitive. Udemy course provides some very hands on intuitive level assignments/explanation where the tutor explains each and every line of the code which does help if your theory is on point. IBM’s course provides weird yet interesting assignments as they try to bring IBM Watson platform and big data aspect into real time production level assignments but are poorly explained/structured with weird UX around IBM platform. Verdict:- If you like someone explaining all the code, Udemy assignments are very good. You want your code to be reviewed/mentorship — Udacity is bang on. For everything else, there is Coursera. ime 3) T S — Students are at an advantage for they can easily pace out the courses over time. Coursera 4 week courses if done properly hardly take a week if you are clear with your math fundamentals. Udacity has much more to offer in terms of mini assignments and longer syllabus which justifies its ask of 8–10 hours per week. IBM course is very swift but it covers very less things. Udemy course is around 23 hours runtime which clearly takes atleast 2 weeks to finish. P — All the courses are also kept keeping professionals in mind. Udacity has some deadline based projects so you kinda have to keep up. But burning the midnight oil everyday is better than chugging through the whole content over the weekend for you will forget it the next week. Verdict:- Coursera is value for time, Udemy is self paced but might be frightening at times. Udacity is not for the faint-hearted if you are not well versed with its prerequisites of math and python ntuition 4) I Andrew Ng covers the underlying math in a much much better way than all of the tutors but at times it proves to be counter intuitive if you like coding and hacking your way through it. Udemy course covers both code logic and tech intuition in a nice and precise way but visually is unappealing.They also provide links to research papers to read which can be used as supplementary material to strengthen your knowledge on a particular topic. Udacity content is very intuitive though they provide some write ups and math below their videos, some math intensive sessions (RNN) surely are snoozeworthy.( Important, yet snoozyy) IBM course gives you an idea about IoT and production level deep learning with its very basic and intuitive videos which are good if you are looking to quickly try and build something without going into the grittiness of deep learning. That’s not what she said… Verdict:- I personally found Udacity content to have cleared a lot of mydoubts, but then Udemy clears your coding intuition and Andrew Ng’s lectures though less intuitive but are necessary if you re looking to understand how everything works. You can choose to go for Udemy if your aim is to prototype rapidly and learn intuitively only. ontent 5) C Andrew Ng’s content is very standard and it feels as if you are sitting in a classroom and your professor is breaking down each and every difficult concept into simpler terms. Udacity’s content is graphically attractive and doesn’t make you sleep( RL and RNN will) coupled with special content by Andrew Trask, Ian Goodfellow and Sebastian Thrun keeps things interesting from time to time. SuperDataScience team has come up with their hit A-Z series in many verticals of AI/ML/DL and though their slides are not a visual treat, their content is precise and inclined more towards the practical aspect. They provide some very cool templates which are heavily reusable if you plan to experiment. IBM content is a bit hasty I would say, the varied pace at which different instructors go and the accent of the main tutor is sometimes very difficult to comprehend without subtitles. Verdict:- Udacity — Yayyyy, Udemy — Yayyy, DeepLearning.ai — Yayy, IBM — Yay upport 6) S I’d say Udacity’s 60% fees might be justified for the support they provide. Slack channels, weekly office hours, live webinars with top scholars, mentors to help you out with code and logical errors and portfolio building skills make taking a mooc a very wholesome experience. Coursera and Udemy have support forums where you can discuss with your fellow classmates or reach out to TAs but then it depends on how much grasping power you have. Better the support, Better the understanding.I personally got frustrated with the IBM course as the assignments are so rigid I almost gave it up at one point just because I was copy pasting wrong json file. Verdict:- Udacity takes the cake and justifies its price in this segment FINAL VERDICT Its one thing to download tutorial videos and other thing to take an actual course. I have had like 30–40 gb worth of tutorials ranging from Game Theory to How To Make Delicious Pastas and I still eat instant pasta packets. The point being if you are commiting yourself to a course and are serious about entering this field or are just wanting to have an overview of the fuss in the market, I have some yoda wisdom to pass on. Chronological Order : Deeplearning.ai, Udemy, IBM, Udacity Machete Order: Udemy, IBM and then watch the world burn The Chosen One: Udacity DLND Original Trilogy — Andrew Ng’s Machine Learning-> Khan Academy Math ->DeepLearning.ai

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