Chevron Left
Zurück zu Maschinelles Lernen

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

119,101 Bewertungen
29,245 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....



Nov 11, 2017

Great teaching style , Presentation is lucid, Assignments are at right difficulty level for the beginners to get an under the hood understanding without getting bogged down by the superfluous details.


Jun 15, 2016

Excellent starting course on machine learning. Beats any of the so called programming books on ML. Highly recommend this as a starting point for anyone wishing to be a ML programmer or data scientist.

Filtern nach:

25901 - 25925 von 28,357 Bewertungen für Maschinelles Lernen

von wangyang

Oct 17, 2019

This is a great course for introduction to machine learning.

von Scott S

Oct 18, 2019

Extremely well crafted and executed. Prof Ng does a fantastic job navigating through the material!

von Shrikrishna M

Oct 18, 2019

Something of which I will be thankful all my life. Made a very big impact on mine life.

von Shreyas S P

Oct 18, 2019

Andrew is fenomenal


Oct 18, 2019

Highly recommended.

Suitable beginners.

Very usefull.

von Patryk L

Oct 18, 2019

I have enjoyed each minute of Professor Andrew Ng's course - I'm very glad that it's widely available and I do recommend it for every person interested in this topic.

Thank you!

von Manuel B

Oct 19, 2019

Exceptional work made by Professor Andrew Ng making a top course like this available to anyone. Just have to thank and hit the button for the next ones.

von Tubati H

Oct 20, 2019

Good,I understand the topics clearly and had a great time learning topics and soloving assignments and quiz

von Tedros T A

Oct 21, 2019

Really Interesting Course

von Sourabh L

Oct 21, 2019

My first course on Coursera and I believe this is the most comprehensive way in which machine learning can be taught. I understood all basic concepts from the lectures and assignments itself. All Thanks to Andrew Sir and team, for grouping together such a fantastic series on Machine learning.

von Joe S

Oct 18, 2019

When people talk about machine learning, does it sound like they're talking about magic? Magic, once explained, is science, and this is a wonderful course that explains the magical properties of machine learning using easily understood engineering principles.

von Aman S

Oct 19, 2019

Amazingly taught by such a great tutor, the whole course felt like a journey and the thank you message by Andrew ng got me emotional. I would also like to thank Coursera for providing me financial aid for this, I am highly indebted to this act of kindness. Thank you so much

von 程舒昊

Oct 19, 2019


von Ritwik D

Oct 19, 2019

First of all I'm so thankful to Andrew NG for this wonderful course and I'll always be in debt to him for this masterpiece. At the very start, when I was just starting out, I was really unsure whether this would be the right course for me as this is an 11 week course. I was also concerned about the usage of MATLAB/ Octave over Python. But choosing this course, I realized it didn't really matter given that you know how an algorithm is working under the hood. I love how Mr. NG has the special ability to teach such complicated topics with so much ease. I can never expect the same from any faculty I've personally come across. Yes, the programming exercises were sort of a pain but there are github repos that let you do the same in Python. What I've learned over these 11 weeks, I believe, is immensely valuable and probably very few courses out there are capable of that. This perhaps has been one of the best decisions of mine so far. I plan on moving on to deep learning after this, thanks to Mr. Andrew NG.

Also, over this course of 11 weeks I felt attached to Mr. Andrew NG and I can proudly say that he's been the best teacher I've ever come across. It was a little hard to watch the last and final video knowing its the end of the road. So thank you sir for this wonderful work of art! I'll forever be in debt.

von prasanna k

Oct 19, 2019

Thank you for this nicely designed series. It not only gave me the basic understanding but those quiz and assignments made sure I am using these fundamental concepts properly. Really helpful.

von Miguel C S

Oct 19, 2019

Great course! The videos are amazing and easy to follow up.

von Akshil A M

Oct 20, 2019

best course of machine learning

von ibrahim

Oct 20, 2019

Very helpful machine learning material available online. Thank you.

von Shaleen B

Oct 21, 2019


von Abhishek

Oct 21, 2019

It was a very excellent course . It is the best course for getting started in this field. This course not only teaches various algorithms for machine learning but also teaches how to apply those algorithms .

von Rishiraj R

Oct 21, 2019

Nice knowledge sharing and makes you really understand the concepts of machine learning

von Somanshu M

Oct 21, 2019

Best course for machine learning......

von David N

Oct 21, 2019

During a busy time at work I took a break, when i returned I was confused, and then one day I sat down and studied some Matlab, then I finished 6 assignments in just over a week. I found the math was just right and the course helped me to understand a lot of material.

von Ryo O

Oct 18, 2019

A person with no machine learning background (like me) would never be disappointed to start with this course. I reviewed what I have learned during the last 11 weeks and was surprised to find the volume and the depth there. I sincerely admire Professor Ng and his team for building up such a great program.

von Mahmoud M H

Oct 18, 2019

one of the best courses ever