Отзывы учащихся о курсе Машинное обучение от партнера Стэнфордский университет

The instructor gives simple explanations, yet covers all the topics deeply. The coding exercises are well designed and teach you haw to write machine learning with no past experience.

Really well defined course on Machine Learning. It would be ideal if you have some background knowledge on Math. Do Linear Algebra from Youtube ( Linear Regression) as a compulsion.

I thoroughly enjoyed the videos and programming exercises. I think Dr. Ng has great insights that will help me approach future ML problems with greater understanding and efficiency.

This class was really interesting and the videos are very well explained with examples to show how machine learning is applied in everyday-life. I would definitely recommend it !

Amazing introduction to machine learning. Broke down complex topics in a very accessible and interesting way, looking forward to using the knowledge I gained here going forward.

It's amazing, I can learn fanstastic stuff through this free course. There is no boundary. I could implement the machine learning code , and understand well. Thank you so much.

Very detailed. The programming exercises were very well made, it was great to be able to implement the parts of the exercise one by one, and see the effect that each step has.

This class is well worth your time to gain an excellent survey of the current ML state of the art processes. Very enjoyable and well taught, and the resources are very good.

Much better than the lecture on machine learning than that is offered in my university. only problem is that if you are a fluent user of Matlab, you should skip week 1 and 2

Its amazing course, very detailed and good explanation of each algorithm. Mr Andrew NG has good teaching skills, I am glad that I came across this course. Thanks Cousera. :)

A Great course for beginner in Machine Learning. Hope the exercise can be updated.

It will be good if decision tree, random forest, and bayesian is added to the course.

A really good introduction to machine learning with real and practical examples. I can't believe we did so much in such a short time.

Well done professor Andrew Ng !

I'm glad to be the part of this Machine learning course by Andrew Ng Sir....and i'm also very thankful to coursera for providing me financial aid for this course...

An amazing course in 2021, in combination with the python assignments on github. Learn a lot, thank you, Andrew. Programming exercise 4 DOES take a lot of time!

An exciting course that is as good for a beginner as anyone. The references provided were really helpful if one wants to pursue more knowledge on that subject.

This is the best course I've taken! The instructor really brings intuition to all the algorithms and complicated things allowing us to really understand it.

Very challenging and rewarding course. From concepts to hands-on experience, I enjoyed the journey and would highly recommend this course to my colleagues.

Even being for a "old" course, it has the very best ground of concepts and techniques of Machine Learning. I am very much satisfied and have learned a lot.

This is definitively an excellent course for beginners. I am graceful with Andrew Ng for the dedication he gave for building this course. Congratulations.

Excellent course. Discussion forum help from the mentors was super in the first half of the course but towards the end the mentors did not participate

Excellent course to teach the fundamentals of ML and AI. It is the best course and I recommend making the programming exercises a but longer!

It was an amazing experience in learning Machine learning. I learnt a lot from this course. I thank the instructor, Prof. Andrew.

Excellent course. I am not an expert in mathematics, but this course gives me a very good understanding of ML and algorithms.

Excellent course. Anyone interested in Machine Learning should definitely take this course. Thanks Andrew for making this.

I used the python versions of the programming assignments (in the form of jupyter notebooks). Can't recommend enough.