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

4.9
étoiles
154,144 évaluations
39,350 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

SC
10 juil. 2020

One of the best online courses I have attended in a decade. Thank you to Coursera for making this course available. I cannot express my gratitude enough to professor Andrew Ng for this awesome course!

RK
19 août 2019

It is the best online course for any person wanna learn machine learning. Andrew sir teaches very well. His pace is very good. The insights which you will get in this course turns out to be wonderful.

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151 - 175 sur 10,000 Avis pour Apprentissage automatique

par Harshit A

13 janv. 2019

This course is a really amazing and well taught course.Andrew sir is really a very good teacher and he made the complex topics quite easy to understand with his cool examples.Moreover, the optimization techniques and advises given for debugging or improving the machine learning program were really helpful. I hope I can take full advantage of this course and build up a career in machine learning.

par Yan S

5 déc. 2020

Fabulous course for starters of machine learning.

Even without a solid foundation of linear algebra, calculus, statistics, one can still have a good sense of machine learning by professor Andrew's patient teaching. And the coding exercises helps me a lot in comprehending some concepts that are unclear when watching the videos.

Sincere gratitude for the teacher Andrew. Real respect.

par Shashank S

9 sept. 2019

This course was splendidly awesome. I am in my final year from grade C engineering college in New Delhi, India. This course helped me a lot to understand about the basics and gave me deep understanding about the field. Thanks to Andrew NG Sir who made this great website for students like us and such an best class content. Highly Recommended to all!

Thank You!

par Pankaj R

19 avr. 2020

Great Course to start with Machine Learning. All algorithms and technical expects are covered and explained in detail. Assignments are well framed and gives you a proper intuition on algorithms use and performance on real world data. Also appreciate the advise on debugging and optimizing algorithms on small test examples, before running on large data sets.

par Asmita P

8 avr. 2019

Hi Andrew,

I liked this machine learning course so much. I enjoyed doing all the assignments. I am working in IT industry. I was thinking of working in a new age technology and then my brother told me about this course as I love maths and programming.

I am looking forward to get deep knowledge in machine learning.

Thank you,

Asmita Patil

par Panu M

2 janv. 2019

Very eye-opening for a person with a very little knowledge of the aspects and maths behind machine learning. The exercises were somewhat difficult since it's been 15 years since my last maths class and I really haven't been doing it since. So a lot of effort really needed, but once you've done it, it feels great!

par Demir C

27 juil. 2020

I loved this course. Loved the way of teaching and how well structured it was. I can only recommend using the programming test cases when doing the exercises. I wanna thank Prof. Ng and the Tutors of this course. It has been a great experience. If I had the choice, I would purchase this course again, no doubts!

par Mehdi A

5 juin 2020

There are a lot of courses about Machine Learning, but this one is very comprehensive and it also goes deep to the theoretical base, so you do not rely on ready-made libraries, rather you have to write your own code in GNU Octave. I highly recommend this course for everyone who wants to do ML as her career.

par BS

22 sept. 2019

Great comprehensive way to break into machine learning as a subject. I feel confident that this has provided the foundation I need to further explore the subject either by reading up on new topics in the machine learning area or thinking about how to apply machine learning concepts to my personal projects.

par ASIF N

6 juin 2019

Found this course extremely useful to build up the basics of machine learning and its application on the real world. Quizzes and programming exercises were very helpful and apt. Enjoyed a lot while learning these complex algorithms. Thank you Andrew sir and the Course Era team for creating this course.

par Werner A

10 janv. 2020

It was my first time, that I have to come in contact with machine learning. This course helped me pretty much to understand the basic problems. It was a very good introduction, very well explained by Prof. Andrew Ng and I can realy recommend doing this class not only for beginners. Thanks for that!

par Yang M

14 août 2018

Majored in actuarial science so machine learning is not a new word to me. Some of the techniques are very simple such as linear regression. Andrew is so clear and organized which helps me figure out a line in between. The projects are pretty easy but sometimes need plenty of time to debug.

par Paul P

25 mai 2020

This course was fantastic! I can honestly say that I learned more in this course than any course that I have ever taken. It was challenging, but doable with time and effort and well worth it! I would recommend this course to anyone interested in a rigorous foundation in machine learning.

par PANDAVULA A

3 août 2020

Awesome course,

Before completing the course I was lacking in the concepts and if I refer any documentation or some opensource I couldn't understand it well. After completing the course I'm familiar with the algorithms and I understood all the concepts very well.

Thank you Andrew NG.

par Liesbeth v O

6 juin 2019

If you want to learn how to apply machine learning in a wide range of practical settings, this is the course to take! Professor Andrew Ng obviously put a lot of time and care into developing this course and preparing the excercises to provide you with a really smooth learning curve.

par Megil P

16 mars 2019

Tried different youtube tutorials before, but this course was the one, that gave me true understanding about machine learning and how it basically works. I'll always recommend this course to start a machine learning journey! Thanks to Andrew NG for this course and for his effort!

par Francisco M M

23 févr. 2017

Excelente curso! No solo explica detalladamente el sustento teórico de los diversos temas, además propone ejemplos aplicativos sencillos que ayudan a una mayor comprensión. Y por si fuera poco toca temas algo complejos pero sin perder la excelente pedagogía.

Lo recomiendo!

par Jawsem A

21 janv. 2019

Andrew Ng teaching is great! He breaks complex concepts into easier to consume chunks. He not only explains how to implement specific machine learning algorithms, but how to recognize when there are issues with the models you create and how to address them.

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.