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Avis et commentaires pour d'étudiants pour Apprentissage automatique par Université de Stanford

4.9
étoiles
161,934 évaluations
41,533 avis

À propos du cours

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....

Meilleurs avis

AD
21 avr. 2017

Very good coverage of different supervised and unsupervised algorithms, and lots of practical insights around implementation. All the explanations provided helped to understand the concepts very well.

EJ
26 mars 2018

Very well structured and delivered course. Progressive introduction of concepts and intuitive description by Andrew really give a sense of understanding even for the more complex area of the training.

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201 - 225 sur 10,000 Avis pour Apprentissage automatique

par Omri M

16 janv. 2019

terrific course, good balance of both high and ground level teaching. Good, hands-on experience. I actually appreciate the fact it isn't python or R - this way it's not geared toward a specific crowd

par Raman H

22 avr. 2021

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.

par Muhilraaj A R

2 janv. 2020

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.

par Luís R

16 janv. 2019

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.

par Sai G K

19 janv. 2019

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.

par Jag S S

9 juin 2019

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.

par Harshit S

6 juin 2019

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

par Mohamed M K

11 mai 2020

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!!!

par Ng C Y

24 mars 2021

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.

par Jody R

14 févr. 2021

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!

par Tu V N

3 nov. 2019

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.

par Gil B

6 juin 2019

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.

par Lakshya G

2 janv. 2020

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.

par Nathan M

5 juin 2019

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.

par Camille C

18 oct. 2020

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 !

par Nicholas J P

5 août 2020

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.

par Brian

7 août 2015

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.

par John M

13 déc. 2018

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.

par Adam D H

2 janv. 2020

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.

par Rajkumar B

15 août 2018

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

par Tushar T

7 août 2015

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. :)

par Ramdhani Y A S

21 juin 2020

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.

par Antoine G

2 janv. 2020

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 !

par Akash P

14 sept. 2020

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...

par Junqi J

8 janv. 2021

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!