Lasso

Exhibia was nominated as one of the best startups in Miami in Startups of the Year hosted by HackerNoon.  This is an interview with their CEO. 

"90% of software startups fail because no one wants to use them" according to Exhibia CEO Miko Lasso

Ted Lasso's leadership style is rarely seen in media. 

What traits can we learn from Ted to make us successful leaders?

Ted Lasso’s Leadership Lessons Made Me a Successful Leader

Regression analysis is a statistical technique that models and approximates the relationship between a dependent and one or more independent variables. This article will quickly introduce three commonly used regression models using R and the Boston housing data-set: Ridge, Lasso, and Elastic Net.

An Introduction to Ridge, Lasso, and Elastic Net Regression

For many years, programmers have tried to solve extremely complex computer science problems using traditional algorithms which are based on the most basic condition statement: if this then that. For example, if the email contains the word “free!” it should be classified as spam.

Practical machine learning: Ridge Regression vs. Lasso

This paper provides a comprehensive analysis of automatic database management system (DBMS) tuning. 

Smarter Systems, Less Hassle: Inside DBMS Auto-Tuning

Pruning techniques like feature projection, ranking, and reduction help reduce DBMS tuning complexity, improving efficiency in data collection and training.

Pruning Techniques for Reducing Workload and Configuration Space Complexity

Learn about configuration-level pruning techniques for DBMS tuning, including SRCC, PCA, LASSO, Random Forest, and HeSBO. 

How Configuration-level Pruning Reduces Optimization Time in DBMS Tuning

Discover how MagicEraser.Pro simplifies photo editing by allowing users to easily remove unwanted elements like people, logos, and background clutter

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