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+# 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