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Вернуться к Машинное обучение

Отзывы учащихся о курсе Машинное обучение от партнера Стэнфордский университет

4.9
звезд
Оценки: 158,392
Рецензии: 40,560

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

TP
25 июня 2020 г.

This course is a very applicable. Professor Ng explains precisely each algorithm and even tries to give an intuition for mathematical and statistic concepts behind each algorithm. Thank you very much.

MN
30 окт. 2017 г.

Great overview, enough details to have a good understanding of why the techniques work well. Especially appreciated the practical advice regarding debugging, algorithm evaluation and ceiling analysis.

Фильтр по:

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

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.

автор: Mostafa E

8 февр. 2021 г.

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.

автор: Hicham J

8 апр. 2020 г.

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

автор: Jorge L R C

5 июня 2019 г.

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.

автор: Danny F B L

12 февр. 2020 г.

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

автор: Ajay T

29 июля 2019 г.

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

автор: Carlos A M A

18 окт. 2020 г.

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!

автор: Sohan j

6 июня 2019 г.

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

автор: Anish K A

22 февр. 2019 г.

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

автор: Joydeep S

7 нояб. 2018 г.

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

автор: Daniel

7 дек. 2020 г.

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