學生對 国立台湾大学 提供的 機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations 的評價和反饋

最早知道林老师的机器学习基石和技法课程，还是Coursera改版之前的事。当时还在上学，挑选着章节，把林老师的讲解作为课堂内容的补充理解来听，当时就觉得林老师讲的特别棒，课堂上迷迷糊糊的内容来这里听一遍就好很多。现在工作了，终于能抽出时间来把整个课程完整的跟下来，仍然觉得受益匪浅。真的非常感谢林老师能够制作出这样用心的的课程，放在网上与大家分享，也感谢您和TA们从过去到现在一直关注着讨论区的动态，为大家答疑。谢谢！

很好的课程，更加注重算法的理论推导，当然也不乏运用的技巧。之前看过吴恩达老师的机器学习课程，感觉林老师这门课更加的深入，吴恩达老师的课省去了公式的推导，更偏向工程的实践，两门课可以算是相辅相成的。

林老師的課不僅聽起來比較清晰易懂，並且深度足夠（比Andrew Ng的課而言深度要大不少），值得多次聽講。作業質量也比較高，能夠有很好的鍛煉效果。期待後續的技法課程能夠在coursera上面公佈。

透過這次的測驗可以有助於了解自己的觀念是否還夠清楚，以及有沒有什麼地方需要再加強的。

课程内容做到了理论与实践兼顾，作业内容非常棒，对进一步深化理解课程很有帮助

CHinese!

Very good course for exactly what it's for - theoretical foundation. I wish there were more courses that aim at applying these techniques in practice with actual problems.

What an amazing course! I hope professor can give new courses in the future and cover more practical things with so hard theoretical things.

The best course for machine learning I ever met! Very recommended to those who want to build a solid foundation in machine learning.

the ML isn't alchemy, from the parameters and regularization, we can interpret the model

I learned machine learning theory from this course. This is very useful.

A perfect course in spite of a little in-digestibility .

Very interesting course for me！ I love it very much.

The course is moderately difficult and challenging

R​eally great theoretical machine learning course!

good explaination the foundation of all ML models

课程非常的有趣，讲的非常的细致，非常感谢！不知道有没有可能也加入一些LASSO优化求解的内容。

amazing! Great course! thanks a lot!

Nice course, excellent course design.

excellent and clear teaching of ML

Best ML course I have ever taken!

内容很有趣，但是如果能有更多关于code实战的材料或内容会更好

课程设计的极好！

确实是基石课，从原理到实践，恰到好处！

感谢！

good, but quiz is not enough.