Machine Learning Theory and Practice

In the last 20 blog posts, many machine learning algorithms have been involved, and the appetite has been exhausted. I decided to officially start the system-based Machine Learning Theory and try to enter the practical stage, cover:

Professor Yaser Abu-Mostafa of Caltech focuses on traditional statistical theory.

Professor Andrew Ng of Stanford U focuses on practical and intuitive machine learning.

Professor Geoffery Hinton of the University of Toronto (tronto U)'s advanced neural network, focusing on Neural Networks and deep learning

Professor Daphne Koller of Stanford U focuses on reasoning and structured learning.

As a theoretical guide, the above uses machine learning in action as the main line. machine learning practices are more suitable for coders, so this practicality is self-evident.