From c476e1f93d7fb129fefec011e60ac33a9dee138d Mon Sep 17 00:00:00 2001 From: BarbarossaWang <40034814+BarbarossaWang@users.noreply.github.com> Date: Thu, 29 Sep 2022 11:14:05 +0800 Subject: [PATCH] [TRANSLATION] translate The_Information_Theory_Pattern_Recognition_and_Neural_Networks.md (#252) * [TRANSLATION] translate The_Information_Theory_Pattern_Recognition_and_Neural_Networks.md * fix descriptions --- ..._Pattern_Recognition_and_Neural_Networks.en.md | 20 +++++++++++++++++++ 1 file changed, 20 insertions(+) create mode 100644 docs/数学进阶/The_Information_Theory_Pattern_Recognition_and_Neural_Networks.en.md diff --git a/docs/数学进阶/The_Information_Theory_Pattern_Recognition_and_Neural_Networks.en.md b/docs/数学进阶/The_Information_Theory_Pattern_Recognition_and_Neural_Networks.en.md new file mode 100644 index 00000000..9f1ca32a --- /dev/null +++ b/docs/数学进阶/The_Information_Theory_Pattern_Recognition_and_Neural_Networks.en.md @@ -0,0 +1,20 @@ +# 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: +- Recordings: +- 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