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Kursteilnehmer-Bewertung und -Feedback für Maschinelles Lernen von Stanford University

4.9
116,957 Bewertungen
28,701 Bewertungen

Über den Kurs

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....

Top-Bewertungen

SS

May 17, 2019

This is course just awesome. You get everything you wanted from this course. It covers on all topics in detail, helps in getting confidence in learning all the techiques and ideas in machine learning.

VB

Oct 03, 2016

Everything is great about this course. Dr. Ng dumbs is it down with the complex math involved. He explained everything clearly, slowly and softly. Now I can say I know something about Machine Learning

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25951 - 25975 von 27,865 Bewertungen für Maschinelles Lernen

von Vincent V

Mar 17, 2019

Great course that gives you the details of what machine learning actually does behind the screens. It is a very nice feature that you have to take small tests (quizes) and programming assignments to check whether you understood the week's topic. One thing that was less in my opinion is that the exercises were prepped a bit too much. But if you are interested enough in the whole picture, you can check out the prepped exercises as all code is provided to you. Once again, superb course!

von Sebastian D

Mar 17, 2019

The course provides a great overview on foundational concepts and algorithms for machine learning. Material is presented in a very engaging way by Professor Ng and programming exercises help to deepen the student's understanding.

My complaints with regard to this course are minor:

1) I had some trouble really developing an intuition for back propagation in neural networks based on the course material (a look at free Google ML material helped, though) and I am still not 100% sure if I understood SVMs

2) The course exists for a while now and it would be nice to see it updated to the current state of the art in ML

3) One or two more weeks of course material covering other concepts such as decision tree and random forests, and maybe a brief glace at Bayes-based approaches would have been nice

I rate this 4 out of 5, but if possible, would also give it a 4.5. Also despite the potential improvements just mentioned, I can recommend still recommend this course to anyone who wants to get a better grasp at machine learning.

von Jingjing G

Mar 19, 2019

A little bit too easy.

von Tamkin R

Mar 18, 2019

This course is amazing in itself but this platform makes it more interesting.

von Neel S

Mar 19, 2019

A great course for anyone who needs to learn the inner workings and the essence of machine learning. What is the math involved and how the machine actually learns through it. Also, the hands-on experience via the programming exercises and quizzes are quite amazing as well.

von XuBo

Dec 27, 2018

很详细,缺乏深度。

Very detailed videos, lack depth.

von Martijn R

Dec 27, 2018

Excellent course, the instructions and information are clear and concise. The course gives a good overview of machine learning concepts and applications. However, the breadth is also a downside, since several concepts are only touched upon and not dived into more deeply. This is a shortcoming for more academic folks.

von Eason L

Dec 27, 2018

Nice and awesome.

von koppakasaivasishta

Dec 28, 2018

I am glad to say that i am comfortable through out the course.The way sir delivered the lecture was good enough to be understandable by a beginner.

von Jaydeep S

Dec 28, 2018

very nice course for research scholars learned a lot

von Alok R S

Dec 30, 2018

Well, this course does seems to cover lots of topics . Really enjoyed the course . Hope some of the topics could be in more details (SVM and all).

And lots of thanks to Andrew Sir for offering this course .

von Istvan O

Dec 29, 2018

the course material would deserve a retake, correcting all the discovered errors

von Amogh G

Dec 30, 2018

The best Course to start with Machine Learning! Thank you, Andrew NG!

von K A

Jan 15, 2019

Only regret is that such a great course was taught by such a great professor using GNU Octave and not Python. Now, to catchup with now-a-days' programming, I must register for another course in Python.

von Aakash M B

Dec 16, 2018

Very neat explaination

von Akshat W

Nov 30, 2018

It was a really good course for understanding the basics and learning machine learning. I think it helped me in improving my coding as well as math skills and it was a really interesting course by a really cool Professor. Thanks Andrew Ng for all of this.

von Jing F

Dec 01, 2018

Great course! Would be even better if it has a python version!

von zhiysong

Nov 15, 2018

It would be better if more mathematical knowledge could be introduced

von Faiz A S

Dec 02, 2018

very good, much helpful for me in near future

von Yue

Dec 16, 2018

Las primeras semanas tienen resumen después de cada vídeo. Es de gran utilidad y lo he echado en falta en la últimas semanas.

von K M

Dec 17, 2018

nice interface and interactive sessions. Andrew Ng puts forward the concepts in a way that demands very minimal effort to understand.

von Sotirios-Angelos L

Dec 02, 2018

Overall a really good learning experience. The contents of the lesson give you a nice overview of what's out there. The only drawback I think is that you need to use Octave/Matlab to complete this course, as I'm more a python guy.

von Junliang H

Dec 01, 2018

Easy to get started with the Machine Learning ,the course is informative and very helpful.

von andres h

Dec 01, 2018

Good introductory course to machine learning fundamentals and techniques.

von Ramesh P

Nov 16, 2018

Great course. Covered all necessary theoretical background of Machine Learning. Could have been much better if course is revised using Python language :)