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

4.9
étoiles
164,489 évaluations
42,184 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

DW
19 févr. 2016

Fantastic intro to the fundamentals of machine learning. If you want to take your understanding of machine learning concepts beyond "model.fit(X, Y), model.predict(X)" then this is the course for you.

JS
16 juin 2017

Everything is taught from basics, which makes this course very accessible- still requires effort, however will leave you with real confidence and understanding of subjects covered. Great teacher too..

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201 - 225 sur 10,000 Avis pour Apprentissage automatique

par Nimish B

5 juin 2019

I loved this course. Helped me learn about concepts specific to Machine Learning in a very interactive and intuitive manner. Working on Octave took time at first but is easy to pick up. Thank you Andrew Ng for this really well thought out curriculum!

par Nitin A

9 oct. 2020

Thank you for this amazing course on machine learning. Each topic was explained perfectly and concisely. I was able to learn all the basic concepts of ML and how to implement them. It would be better if python was used for the programming exercises

par Praveen K

17 janv. 2019

This course is very well put together from beginning to the end. The simplicity and approach towards teaching this kind of new and complex subject is amazing. I highly recommend for anyone who would like to get into Machine Learning space.

par Shanthan K P

25 mai 2020

A very good course packed with the fundamentals of ML. It has given me a great overview of what ML is and the assignments were well organized. Neil Ostrove and Tom Mosher were very quick at replying to the queries and were very helpful!

par Tony X

5 juin 2019

Quite good, suggest for beginners. There is no much mathematics knowledge deeply involved.

Andrew Ng used a simply way to describe machine learning algorithm. It's really helpful to understand the concept.

Thank you very much!

par John C

5 juin 2020

I will just simply say that this course was awesome! Prof. Ng broke down the ideas very nicely and “de-mystified” the area of machine learning. I highly recommend this for anyone who is just getting started in this area.

par Glenn B

21 oct. 2015

Absolutely brilliant course and lecturer (simply brilliant Andrew!!!)

So precisely spoken; such brilliant tutorial notes, wiki, forum (mentor Tom Mosher - Thank you)

This course is better than many paid university courses.

par Amine M

11 avr. 2019

I took this class to recap my ML knowledge. It filled up my ML knowledge gap! Anyone can take this class, regardless of background or level. There is always something new to learn in each lecture and topic!

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.