I learned a lot from this course, very recommended

thank you, I have learned a lot from this class.

excellent class.worth your time and thank you ng

10/10. Andrew is an amazing teacher. Thanks!

Very good intro course to machine learning

几乎没有数学要求，老少咸宜。

编程作业设计非常用心，专注于让学生完成核心人物。

好评！

THE BEST COURSE IN ML BY FARRRRRRRR

Loved it. Easy and Excellent Course

best ML course in the world !!

Awesome course for beginners.

Machine Learning

Data Science

best experience of learning

喜欢吴恩达教授的课，讲的非常的好！教授很谦虚！赞赞赞！

Great course to study!

Very useful course!

It's very useful

A great course.

very good!!

Very useful

very good

Excellent

Very Nice

Awsome

深入浅出

THIS IS A REVIEW FOR BEGINNERS

ADVANTAGES OF THE COURSE

When I remember myself deciding whether or not I should take the course, the questions that concerned me the most were these ones.

1. Since I am a beginner in this field, will the course work for me?

2. Did this course get outdated? (For those who don't know, the professor uses Octave)

3. In the end, will I feel like I can do some Machine Learning projects all by myself?

For those who have the same questions, here are the answers for you )

1. Yes, the course will work for you even if you are an absolute beginner like I was at the time (I did not know any linear algebra), It does get annoying sometimes and you feel a lot of pressure at some point of the course, but a hard-working person can surely get through it. Mentors are active and very helpful if you get stuck on something.

2. This question is a big NO for me, here is why: When you are learning something from the very bottom it is super important to learn the hard way, which is the same as the old way. When you come across an easier path, you understand and grasp it way better. For Octave, many tasks require multiple lines of code, whereas in Python it is just one line. You have to do it at least once with Octave to understand how it works in Python.

3. No, you would not probably be able to start a project on your own, you would need some additional source. But, the point is that you now have a general understanding of what machine learning is, what are important algorithms and what are the key points you should consider when doing project. This is the base that every person should have.

DRAWBACKS OF THE COURSE

Although I loved the course, I could not give it 5 stars because it would have been unrealistic. The lectures of the course have an incredible amount of errors. You should be careful. Although all the errors are covered in the Errata section, it still was annoying to open the section every time when I started a new lecture. to check for errors I am about to see.

Another drawback was the programming assignments. They were not explained well and I almost always had to refer to extra Tutorials made by Mentors.

Special Thanks to Professor Ng and all the Mentors!