The Information Theory, Patter Recognition, and Neural Networks

Descriptions

• Offered by: Cambridge
• Prerequisites: Calculus, Linear Algebra, Probabilities and Statistics
• Programming Languages: Anything would be OK, Python preferred
• Difficulty: 🌟🌟🌟
• Class Hour: 30-50 hours

This is a course on information theory taught by Sir David MacKay at the University of Cambridge. The professor is a very famous scholar in information theory and neural networks, and the textbook for the course is a classic work in the field of information theory. Unfortunately, those whom God loves die young …

Course Resources

• Course Website: http://www.inference.org.uk/mackay/itila/
• Recordings: https://www.youtube.com/playlist?list=PLruBu5BI5n4aFpG32iMbdWoRVAA-Vcso6
• Textbooks: Information Theory, Inference, and Learning Algorithms
• Assignments: At the end of each lesson video, there are post-lesson exercises from the textbook

R.I.P Prof. David MacKay