The second edition of Machine Learning Refined co-authored by Northwestern Engineering's Jeremy Watt, Reza Borhani, and Aggelos K. Katsaggelos aims to meet the growing demand for educational resources ...

Discover essential machine learning insights for success, from mastering fundamentals to aligning with business goals.

Gain a deeper understanding of artificial intelligence with Machine Learning Fundamentals: Principles and Applications. This course explores core concepts and practical uses of supervised and ...

Artificial intelligence can be confusing stuff. The book AIQ by statistics professors Nick Polson and James Scott explains the basics in plain English.

Providing the fundamentals of ML and AI and allowing you to learn how to train your own machine learning models using free online tools.

The course is based off an internal Google course that was originally designed to help give Google employees a practical introduction to AI and machine learning fundamentals, with 18,000 employees ...

Statistics and Machine Learning COS 424/SML 302 Fundamentals of Machine Learning Computers have made it possible to collect vast amounts of data from a wide variety of sources. It is not always clear, ...