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

4.9
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....

Top-Bewertungen

AA

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.

MN

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.

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25776 - 25800 von 28,360 Bewertungen für Maschinelles Lernen

von Phil G

Oct 28, 2019

A very challenging course if you aren't experienced in linear algebra, but completion of the exercises is possible without experience and you will get to understand in real detail the core models used in machine learning. Thanks Andrew and team.

von Sunitha A

Oct 28, 2019

A good course for learning the basic concepts about Machine Learning.Andrew Ng is a very good teacher and he makes even the most difficult things understandable. Thank you sir for spending so many hours for designing this beautiful course.

von Rohan M

Oct 29, 2019

Fabulous course. Learned an enormous amount and would highly recommend this course to anyone interested in understanding machine learning.

von Rong H

Oct 30, 2019

It's a fruitful course with a comprehensive explanation of machine learning techniques and numerous hand-on projects. Highly recommend!

von Yohei M

Oct 30, 2019

Andrew is a gifted lecturer and I feel extremely lucky to have taken this well-organised and challenging course on Machine Learning.

von Tianyu J

Oct 30, 2019

Easy to understand for solid materials.

von Jorge O R

Oct 28, 2019

I can only express gratitude for this excellent course. The course dynamics was excellent, contents were treated in deep, and the attitude of Andrew created a rapport that helped me to give the extra mile.

Collaboration tools allow to receive support from pairs and mentors, and the opportunity to excercise through actual programming is extraordinary.

von Mahesh B

Oct 28, 2019

Very nicely explained concepts and a gentle introduction to machine learning.

von Swapnil M

Oct 28, 2019

As a student of science I already had some exposure to the mathematical background of the course. But I was curious and wanted to learn about the exact implementation of these ideas in practice. The instructor guided me thoroughly through various important concepts of the subject. I am now able to implement these ideas on my own.

von Rithvik M

Oct 28, 2019

Its an amazing course for aspiring Data Scientists and it covers the common techniques used in ML.

von Paolo S

Oct 28, 2019

Very good course and very good introduction for machine learing technology. Andrew is avery good teacher , the coruse is well structured between videos, quiz and useful exercises. I found unclear just the exercise on neural networks.

von yuanningge

Oct 30, 2019

感谢老师的讲解!很喜欢做小测验和编程作业!

von Subhonil G

Oct 30, 2019

Awesome course. Took me back to school very effectively!

von Yin D

Oct 28, 2019

My great honor to have been a student in this class! Thank you Andrew Ng!

von Kunal M

Oct 29, 2019

Exceptional effort by the professor to explain the concepts of machine learning. The usage of octave was a challenge - while it simplified lot of computation, but more useful language like python would have made the learning more transferable for long term reference and use. That said, I highly recommend this class. Thanks Professor.

von Gnanasekar R

Oct 30, 2019

Excellent teaching covering practical applications of the algorithms. The programming exercises were really helpful in getting hands on. Very exciting course!

von Daniel F V

Oct 30, 2019

Excellent teacher and material.

von ShingB

Oct 31, 2019

老师讲解的很好,特别是和中国国内的教程资源相比,这个课程设置很有系统性。课堂练习、课后习题、课后编程都衔接的非常好。唯一不足的是,没有很地道的中文解释,对于没有西方思维的中国人来讲,理解内容很抽象。

von Chen Y

Oct 28, 2019

A lot of details in the lecture. Very appreciated!

von Eyal M

Oct 28, 2019

Great introduction course to Machine Learning. This course goes over different kinds of learning algorithms and, very importantly, approaches to developing Machine Learning applications.

von Marek S

Oct 29, 2019

Great class and great professor. In all honestly, ndrew Ng is probably one of the best professors I have ever had. I really enjoyed his teaching style. It was very humble and informative. Some of the concepts were quite difficult and took quite a bit of time to get through. I came away from this with a better understanding of machine learning. I would recommend this course to anyone who wants to learn about machine learning.

von Arindam D

Oct 29, 2019

Well I have heard about this course a lot. I haven't attended any machine learning course earlier though I have taken a statistics course during my masters. I did find this course pretty helpful for my future career. Thanks to Coursera!

von Jayant D B

Oct 29, 2019

Machine learning course is well organized and prepared. Andrew Sir is a great teacher. He explained all concept in well manner. Thank you coursera and Stanford University.

Thank you Andrew Ng Sir

von Gurjeet s

Oct 29, 2019

excellent introductory course

von Saqibur R

Oct 30, 2019

Professor Ng is an excellent teacher and has managed to distill complicated concepts into manageable chunks for beginners to easily grasp. The quizzes at the end of sections along with the programming exercises are a great way to cement the concepts taught in the videos. Concretely, this has been a wonderful and enlightening learning process.