Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of linear regression with two-way ...

This course is designed to learn how to execute a data strategy that works, begin by discovering the appropriate use and processing of data for optimizing machine learning applications. Explore ...

In a recent advance, a multi-disciplinary team of researchers developed a machine learning framework that adapts to changes ...

The Rice University solution is termed Peak-Sensitive Elastic-net Logistic Regression, or PSE-LR, a method tailored for ...

Deep learning uses data inputs to guess the nonlinear plane that will most correctly go through the middle of a set of data points in a more sophisticated manner than linear regression. This chapter ...

There are numerous machine learning & AI newsletters, below we feature the best. These enable you to keep up with the latest industry news, important developments, etc. Of course we monitor all of ...

AIDE is an LLM agent that generates solutions for machine learning tasks just from natural language descriptions of the task. In our own benchmark composed of over 60 Kaggle data science competitions, ...

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), ...