CS 156 | Learning from Data | Caltech MOOC

Comprehensive machine learning course from Caltech's Feynman Prize winner, covering core concepts and techniques in-depth.

Introduction

The "Learning From Data" MOOC is a comprehensive course taught by Professor Yaser Abu-Mostafa from the California Institute of Technology. It covers the fundamental concepts and techniques of machine learning in detail, with a focus on real understanding rather than just memorization.

Highlights

• Taught by a Feynman Prize winner, ensuring high-quality instruction
• Lectures use incremental viewgraphs to simulate the pace of blackboard teaching
• 18 lectures available on various platforms, including YouTube
• Covers a wide range of topics, from the linear model to neural networks and support vector machines

Recommendation

This course is highly recommended for anyone interested in learning the core principles and techniques of machine learning. It provides a solid foundation for both beginners and those with some prior experience in the field. The focus on real understanding makes it an excellent choice for those seeking to deeply comprehend the subject matter.