機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations

This course give a theoretical analysis of machine learning,though there is not much introduction of algorithm in detail,but this helped me open a new door of machine learning.

I am very grateful to the teacher for bring me to the world of Machine Learing. I am new in the field. I will try my best to learn the basic knowledge of ML.

The speaker explains the ML in very clear and easier to understand way. I believe everyone can understand if he/she follow the course.

Lin is a very funny teacher.The course is really valuable.i will recap this course many times.thanks teacher lin again.thks

Theoretically explained why machine learning is feasible. The content is a little bit hard to understand.

A great theoretical course in machine learning, and looking for he second part of the math foundation

机器学习的数学和统计学基础本是让人望而生畏的部分，但林老师的讲解深入浅出，循序渐进，在有限的时间内让我领略了机器学习背后的原理，为后续学习机器学习算法增加了信心，非常感谢林老师的课程！

Good course, which help me understand mathematical foundations about machine learning!

Very Very wonderful course of theory about machine Learning, Very useful, thank you.

This is a very nice courses. But I think the test is super hard for some students.

hope there are more exercises, some problems seem to be too hard to understand...

許多名詞似乎是自創新詞，但都能很好地描述ML的理論\n\n課程的統計很吃重，難度的分配有些不均勻\n\n整體來說是非常適合有數學底子學生的扎實入門課程

基石上是很基础的一些知识，VC等等，不过我觉得作为想搞应用的人来说，这些底层数学原理不用学的那么详细，理解含义和思想即可，但是知道这些还是必须的！

it gives me a different view of ml,it's a really rigorous course. Thanks

Best course for the learners with some concepts of machine learning

Great introduction for mathematical foundations of machine learning

老師上課說的淺顯易懂，並運用範例與測試，可以增進對課程熟悉度，對於初次接觸Machine Learning 是個好選擇。

Base on very fundamental concepts of the Machine Learning.

机器学习基石上课程目标不在于工程能力，而在于提供一种思路：为什么机器学习能work？这是很多其他课程不能带来的。