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Вернуться к Машинное обучение

Отзывы учащихся о курсе Машинное обучение от партнера Стэнфордский университет

4.9
звезд
Оценки: 161,768
Рецензии: 41,487

О курсе

Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. Many researchers also think it is the best way to make progress towards human-level AI. In this class, you will learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself. More importantly, you'll learn about not only the theoretical underpinnings of learning, but also gain the practical know-how needed to quickly and powerfully apply these techniques to new problems. Finally, you'll learn about some of Silicon Valley's best practices in innovation as it pertains to machine learning and AI. This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition. Topics include: (i) Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks). (ii) Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning). (iii) Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI). The course will also draw from numerous case studies and applications, so that you'll also learn how to apply learning algorithms to building smart robots (perception, control), text understanding (web search, anti-spam), computer vision, medical informatics, audio, database mining, and other areas....

Лучшие рецензии

JP
24 окт. 2016 г.

Great course. A progressive discovery of the maths inner to the learning algorithms. This course gives that insight many ML practitioners don't have and is so important for making real use cases work.

YN
18 июля 2021 г.

Amazing really felt that I learnt something substantial. Very happy that I chose this course over others Andrew Ng Sir explained everything very clearly to a required level of depth.\n\nThank you Sir!

Фильтр по:

201–225 из 10,000 отзывов о курсе Машинное обучение

автор: Raman H

22 апр. 2021 г.

One of the greatest courses I ever passed!

First weeks may seem easy especially if you've got mathematical background, but don't be fooled by it. Latest weeks are interesting and pretty difficult.

автор: Muhilraaj A R

2 янв. 2020 г.

Thoroughly enjoyed by doing this course.Gained lots of Knowledge on machine learning and practical skills on applying it.Thank you Andrew Ng sir,Standford University and Coursera for this course.

автор: Luís R

16 янв. 2019 г.

The course has an adequate degree of dificulty. It is not easy. But, the subject matter demands for that specific degree of detail if we really like to actually do something with machine learning.

автор: Sai G K

19 янв. 2019 г.

This is a great course for someone looking to learn Machine Learning from the ground up. I would suggest this course to everybody from beginners to professionals. Andrew Ng is an awesome teacher.

автор: Jag S S

9 июня 2019 г.

Excellent course, everything is taught from the scratch. Anyone from any background can learn a lot about machine learning through variety exercises, tutorials and lectures. Highly recommended.

автор: Harshit S

6 июня 2019 г.

Very Good Course to start into machine learning, It uses Matlab which is very useful, all mathematics behind different algorithm nicely explained by instructor, Instructor is very good teacher

автор: Mohamed M K

11 мая 2020 г.

Really amazing course, Andrew Ng is one of the most successful professors in the world, not only he briantly teaches ML/AI, but he also does it with great sense of humility. Thank you Sir!!!

автор: Ng C Y

24 мар. 2021 г.

This course is amazing, I have learnt the detail about machine learning algorithm and also implmentation on Octave/MatLab. Thank you for Professor Ng sharing this knowledge via this course.

автор: Jody R

14 февр. 2021 г.

Professor Ng is a great teacher. I learned very quickly from his easygoing style. The content helped me understand the machine learning problems much better. Thank you very much Andrew!

автор: Tu V N

3 нояб. 2019 г.

This is one of the best online course I have learned over many years. Thank you very much Prof. Andrew Ng. Highly recommended for whom want to learn about AI & Machine Learning subject.

автор: Gil B

6 июня 2019 г.

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.

автор: Lakshya G

2 янв. 2020 г.

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.

автор: Nathan M

5 июня 2019 г.

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.

автор: Camille C

18 окт. 2020 г.

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 !

автор: Nicholas J P

5 авг. 2020 г.

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.

автор: Brian

7 авг. 2015 г.

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.

автор: John M

13 дек. 2018 г.

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.

автор: Adam D H

2 янв. 2020 г.

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.

автор: Rajkumar B

15 авг. 2018 г.

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

автор: Tushar T

7 авг. 2015 г.

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. :)

автор: Ramdhani Y A S

21 июня 2020 г.

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.

автор: Antoine G

2 янв. 2020 г.

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 !

автор: Akash P

14 сент. 2020 г.

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...

автор: Junqi J

8 янв. 2021 г.

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!

автор: Abhinav P S

20 мая 2020 г.

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.