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

119,744 Bewertungen
29,390 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....



Mar 31, 2018

Perhaps the greatest instructor and the greatest course, I enjoyed it so much I had continued to do it in between my exams and looking forward fto start or deeplearning,ai specialization in a few days


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!

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25876 - 25900 von 28,504 Bewertungen für Maschinelles Lernen

von Mustafa M T

Oct 08, 2019

If you want to know what math is in Machine Learning, it's for you!

von Vikas U

Oct 09, 2019

Very impressive way of teaching, excellent content and nicely organized supporting material.

von wangyuqi

Oct 09, 2019

It is really a good course for a primary learner. It will help you construct your machine learning systems in your mind.

von Evin Y

Oct 09, 2019

it's such a great course that I couldn't love it more, nice slides and nice practice, Andrew Ng is professional in teaching!

von Satyam A

Oct 10, 2019

Still the best ML course

von Muhammad R

Oct 11, 2019

Professor Andrew is love!

von Owe J

Oct 11, 2019

I don't regret a single minute spent on this class. It is almost sad that I have passed it, but fortunately there are more Courses to go.

von Adam F

Oct 08, 2019

It was great course. It gave me great start into Machine Learning. Thanks a lot !!!

von abey b

Oct 09, 2019

the best machine learning course i ever came across. Thank you very much Andrew Ng.

von Annika K

Oct 10, 2019

Great course! Highly recommend it to anyone!

von Nitish S

Oct 10, 2019

Extremely useful course for begineers in machine learning

von Nitin K L

Oct 10, 2019

Find it useful

von manaswita

Oct 08, 2019

Best Course

von Kulish A

Oct 08, 2019

Very teachable approach to go from basics to advanced topiscs!

von yanlei

Oct 09, 2019

非常好的课程, 里面的东西从浅入深, 但也需要课后不断的自我充实, 给我很多的学习动力.

von Kun C H

Oct 09, 2019

muy buen "survey" de todas las técnicas existentes, sobre todo las tareas con matlab

von Shengxiang W

Oct 09, 2019

Super informative course!

von Andreas M

Oct 09, 2019

Great course to learn the basic principles of machine learning. This course helped me to deeper understanding of the algorithms of machine learning and how to apply them to real world problems. The programming assignments took me sometimes longer than the suggested 3 hours, maybe due to my poor octave/matlab knowledge and although to the fact that English is not my mothertongue. But I wouldn't let out one single exercise. Just a slight recommendation according your tutorials and FAQs board. It would be helpful if you could clean up the boards and throw out questions/comments like "I cannot upload my assignment" because they have no relevance to other learners. Helpful are hints like "if you get a value of 23 instead of 22 check the dimension of your xy...".

von Joshua L

Oct 09, 2019

Amazing course and takes your from high-level concepts to writing code. I would recommend this course to anyone.

von Carlos A E L

Oct 09, 2019

Es un gran curso si quieres entrar a conocer machine learning. Tener algunas herramientas básicas de matemáticas como álgebra lineal básica, es decir, operaciones con matrices, y nociones sobre derivadas paricales es más que suficiente. Las explicaciones son claras y lo que más me gustó es la manera en que se realiza cada tara, en la que se te da una plantilla sobre la que tienes que ir programando, esta te va guiando en cuáles son las tareas a realizar y califica si hiciste bien cada caso. He probado otros cursos en linea y este me ha parecido el mejor.

von sunzhongtai

Oct 10, 2019

great excellent

von Aayushi C

Oct 10, 2019

Exceptionally designed course. Thank you Coursera.

von Samir K S

Oct 09, 2019

Very very good course contents and presentation

von Vijay K P

Oct 10, 2019

Exceptional !

von Nabil M A

Oct 10, 2019

A long journey indeed, very immersive and i feel very confident!