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

114,658 Bewertungen
28,183 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....



Sep 27, 2018

One of the best course at Coursera, the content are very well versed, assignments and quiz are quite challenging and good, Andrew is one of the best guide we could have in our side.\n\nThanks Coursera


May 19, 2019

This is the best course I have ever taken. Andrew is a very good teacher and he makes even the most difficult things understandable.\n\nA big thank you for spending so many hours creating this course.

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25701 - 25725 von 27,309 Bewertungen für Maschinelles Lernen

von Asif I

Apr 14, 2018

Really enjoyed taking this class. I hope there will be a version of this class using Python in the future.

von Walid A

May 07, 2018

I Really Enjoyed the course and can't wait to start the Deep-learning Specification.

von Maeva V

Jan 29, 2016

Very good and complete course with a quite high level of examination.

von Jose S L

Oct 23, 2016

Great course. It addresses a number of topics on ML, and takes you to the point in which you can start working on ML on your own.

I missed a clear path of what are the roadmap for the course, why each topic is presented when, and why is important. It's easy to get lost until you follow the reasoning of the instructor.

von Yaman N

Aug 15, 2015

Its very helpful and informative course but some material need more material and clarification

such as : SVM ,recommendation system, large scale machine

thank you very much

von Alon M

Oct 02, 2016

great lessons, with very explained material.

the major downside for this course is the terrible sound quality, it just can't be heard with regular speakers, you have to hear it with earspeakers, and it still not that great.

von hossein

Nov 16, 2017

very nice course, with excellent videos. i would suggest more complicated exercises with more emphasis on totally vectorized solutions.

von Gorana

Mar 04, 2018

Professor Ng explains really clearly and this course was really great experience. And it is good introduction to more hands on and complex courses.

Remembering linear alebra was not so hard as I studied engineering. But I feel that to students without such background in math, going through dedicated course would be a good advice.

Last 2-3 weeks were a bit too relaxed, a could have been complemented with a little bit more complex topics/homework.

For me the the most interesting part was PCA because it made the most sense for my field of work. And now I have tons of questions and ideas.

von Gustavo M

May 11, 2018

Excellent explanations, especially considering the complexity of the subject matter.

von Udupa G m

Feb 13, 2016

Very well constructed course and good assignments that bring out the essence of machine learning.

von Bharat B J

Nov 13, 2017

It would be great if decision trees topic is also included in the course.

von Conor C

Oct 15, 2017

very good course. great foundation in ML.

von Srinivasan

Feb 15, 2017

A good first course on Machine Learning. The programming exercises are a little too easy.

von Quinten K

Dec 10, 2016

Very interesting - the quality of the videos can seriously be improved though. Already with little effort by editing away the duplicate parts.

von Gonzalo O V

Apr 08, 2017

This course help me to understand a little bit more about the options and how a model is build. But is a little too long for someone that is beginning. Would be good to cover less topics but more in deep.

von Quentin A

Apr 05, 2016

A very good introduction. Leaves one equipped enough to know the relevant areas to advance into ML

von Efrem R

Mar 08, 2018

I learned some good fundamentals of ML in this course. I do think that I could have figured out most of the programming challenges without having listened to any of the videos just by doing dimensional analysis on the inputs and expected outputs of each octave function. Regardless, I think this was a pretty good intro course.

von Christian C B

Aug 31, 2016

You will learn the ML's principles.

von Sunder M

Dec 13, 2015

Bit too fast.

von Harsh S

Dec 27, 2015

Very good course, but too focused on quantitatively analysis, maybe the practical applications will come in subsequent weeks.

von Hendy Z

Mar 09, 2016

He is not a excellent teacher,but also a inspiring guider.

von José M

Sep 21, 2015

A little bit advaced algebra and calculus for most of the users

von Christoph K W

Dec 21, 2017

Very interesting and informative with some flaws in the video editing.

von Deepak K

Dec 30, 2017

Good class, with useful, interesting assignments!

von Jorge C

May 19, 2018

Very nice course, I learned so much!