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學生對 斯坦福大学 提供的 机器学习 的評價和反饋

121,183 個評分
29,752 個審閱


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....



Jun 20, 2018

good course; just 2 suggestions: improve the skew data part (week 6) and furnish the formula to evaluate the number of iteration in the window from image dimension, window dimension and step (week 11)


Jul 19, 2019

Amazing course. It gets deep into the content and now I feel I know at least the basics of Machine Learning. This is definitely going to help me on my job! Thanks Andrew and the mentors of the course!


27851 - 机器学习 的 27875 個評論(共 28,882 個)

創建者 Abhishek S

Aug 22, 2015

nice course for beginners

創建者 Carlos A R U

Nov 10, 2015

Very good course!

創建者 Himanshu A

Jun 17, 2018

Lectures are perfect for beginners. Although, the use of linear algebra could have been emphasised much more because that is where the magic happens. The support from mentors is exceptionally well. You will get a reply within half an hour. The learning exercises are meticulously curated. The instructor, Andrew Ng sir is brilliant. The best course for a complete beginner on machine learning.

創建者 fred

Apr 01, 2016

it will be better with some examples of code;

創建者 Jesus E B

Mar 27, 2017

A very inttuitive way to understand the principles of Machine Learning. The covered material is usefull and can be used in many practical ways. I did not like so much that you need to use Octave/Matlab.

創建者 Ravi K N

Dec 26, 2016

So far... very good course

創建者 Luis M

Mar 20, 2017

Please add the random forest algorithm.

創建者 Stephen O

Dec 01, 2017

A good intro. to machine learning course. Handled from bottom up approach. Kudos to the trainer!

創建者 Anil G

Nov 18, 2015

An excellent introduction to machine learning, it gives much confidence with hands-on learning. The pace of the course is very good with required information being given to student with minimal confusion by a good teacher. After this course a typical student would be well prepared to learn further for solving real life problems.

創建者 Erwin V

Nov 02, 2015

Solid course materials, interesting examples and cases, sometimes really difficult, learned a lot!

創建者 Maxime C

Dec 19, 2016

Really well explained and accessible, could even be a bit more complex or at least more detailed concerning theoretical guarantees of machine learning at some points.

創建者 Markus K

Mar 07, 2016

Thank you for that course, I really enjoyed it. Mr. Ng is a great speaker, his voice is very clear and as it was very easy to understand him, even as a not native english speaker.

I learned a lot of (in my understanding) "basics" of machine learning. The class was in my opinion to basic and to easy. I would really love to get more information, I've studied electronic- and information science, so most of the things he explained were already basics for me, only the usage of them was new.

One of the most important things (for the job I have at the moment) I learned here was how to code properly vectorized code in Matlab. I use Matlab nearly every day at work but never got such a good explanation how to use the full power of Matlab.

Again, thank you for this great course, I can suggest this course to everyone who wants to learn the basics of machine learning. After that... Maybe someone has an idea how to continue in that topic to increase my understanding and knowledge of Machine learning.

創建者 Akhil K

Jun 07, 2017

Very good and easy to understand course.

創建者 Shirine E Z

Mar 08, 2016

Well-paces, great teacher. However, the assignments are a bit too simple.

創建者 Sridhara S

Jan 10, 2016

I am just loving it! Thank you for all your effort.

創建者 Kaveh H

Dec 20, 2017

Nice course, with both theory and practical parts on machine learning, though the tools used in practical labs are probably not useful in industry today.

創建者 Jacob T

Aug 19, 2017

Pretty good intro course for machine learning. My few minor gripes are the use of MATLAB/Octave (poor translation into industry) and a lot of the course materials have not aged well (i.e. the video really need to be re-recorded - primarily to fix the poor audio quality).

創建者 Rishni R

Feb 21, 2016

Excellent course. Well recommended. Assessment items need a minor update to account for changes.

創建者 Luke Y

Jul 20, 2016


創建者 Jesper B

Apr 18, 2017

While I had som familiarity with the concepts from before, I would sincerely recommend this course to anyone who wishes to learn how to implement machine learning. Do not however that the course expects a lot from you in terms of mathematical knowledge.

創建者 Manthan M

Feb 03, 2018

Covers all the basic theory of ML very well. But they should use Python or some other language for assignments rather than octave.

創建者 ali b

Oct 08, 2017

The assignments are too time consuming but the challenge helps learning. I would suggest more assignments with more hints and help specially when it gets to intricacies of linear algebra and octave coding which is quite time consuming.


Feb 27, 2016

Great experience for my first mooc

創建者 Rosemberg R V

Aug 09, 2017

Es un buen curso para iniciarse dentro del mundo del machine learning. Abre la mente a otra área de conocimiento que utilizamos todos los días y que no sabíamos como se hacía.


創建者 Sengmeng K

Nov 11, 2016

Effective introductions and lead-in to the fundamentals and theories so that I could get a good appreciation of what ML is about.