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

4.9
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....

Top-Bewertungen

RD

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

RC

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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25976 - 26000 von 28,504 Bewertungen für Maschinelles Lernen

von Xue, L

Oct 24, 2019

best ML course ever

von Gagan K G

Oct 24, 2019

Thanks to Prof Andrew, for explaining the fundamentals of such a complex subject in a simple yet elegant way. The best was the flexibility to finish the course, together with the depth of the contents covered. Many more will continue to benefit from this !

von Ada Z

Oct 24, 2019

Made me love maths again!

von Amor M

Oct 21, 2019

great curriculum and teacher

von Rishav S

Oct 21, 2019

A great course. Mr. Andrew Ng, it was such an honour to be a student under your course. Thoroughly enjoyed the difficulty and the learning curve offered by this course.

von Timothy R

Oct 22, 2019

This was a great course. I'm a Data Scientist by title and experience, but my hopes is to move into academics within this field. As a result, I am reviewing material to prepare for my masters degree that will hopefully lead to a PhD. I found this course a great refresher and highly recommend this course for anyone who's either new to machine learning or looking to review concepts they may have forgotten through time. Thank you, Andrew, for such a great course. Thanks to all who helped put this material out there for everyone to benefit from.

von Minh H N D

Oct 23, 2019

Splendid!

von 姬宇航

Oct 23, 2019

Helped me greatly about the basics of machine learning

von HBashanaE

Oct 23, 2019

This is an awesome course to follow if you are interested in machine learning. You can get the knowledge about supervised learning, unsupervised learning, neural networks and many more thing from the basics. Thank you Andrew Ng and coursera

von minou k

Oct 23, 2019

It is a well-organized course you will get all the information you need in this field. I would like to thank Professor Andrew Ng for his great teaching skills that make the material stick.

von Niroshan

Oct 24, 2019

Very good course, highly recommended!! Maybe try to include programming exercises in other languages suchlike python, R etc.

von Partha S K

Oct 24, 2019

Fantasic course with a stupendous professor teaching the concepts

von Antonella B

Oct 24, 2019

This is a great course to get started in the field of data science. It made me feel confident enough to start my own project. But most importantly after the course ended I was eager to learn more and deepen my knowledge.

von Kosi O

Oct 22, 2019

If you are debating taking this course, TAKE IT!!!!

von Sriram V

Oct 22, 2019

Fantastic introduction to Machine Learning. Introduces several concepts and provides a framework for defining problems and creating rudimentary solutions.

von Jasmine M

Oct 23, 2019

Mr. Ng makes the knowledge easy to understand and he equips every abstract idea with vivid examples which makes nonprofessional CS learners learn it smoothly. Thanks!

von Swapneel R

Oct 23, 2019

its really helpful and easy to learn here thanks coursera.....

von Shubham S K

Oct 23, 2019

Great Learning Experience!

von Stephanie M

Oct 24, 2019

An excellent introduction to Machine Learning!

von Guan Y

Oct 22, 2019

大概用一个月的时间快速过完了吴恩达老师的这门《机器学习》,对我自己入门机器学习帮助非常大。coursera上的视频播放不了,但因为这是一门在中国非常火爆的机器学习课程,我通过网易云课堂完成了视频课程的学习。我认为coursera上在线配套的每周复习检测内容也很棒,可以辅助检查自己掌握的如何,一共8次的编程作业也非常有助于自己对算法的理解。感谢吴恩达老师!感谢Coursera平台和社区~!赞b( ̄▽ ̄)d

von victorsim

Oct 22, 2019

very good for beginner

von Scott C

Oct 23, 2019

Andrew Ng is a great teacher and walks you through the material at an easy to follow rate.

von Soumen S

Oct 23, 2019

I learned a lot from this course. I recommend any beginner (like me) or a professional in this field may try this course, because

1. I have learned types of mathematical learning

2. I have learned how to prepare myself to proceed step by step to solve an ML problem in future, instead of just jump into the problem and try to solve

3. Not less not heavy but Andrew has shown me the actual mathetics behind the algorithms.

4. I have learned to find a bug in a model and how to approach it to debug the same. Those parts are the best parts of this course I have enjoyed.

6. I learned how to decide the hypothesis, how decide the polynomials, how to decide parameters, how to decide threshold value (instead of guessing[Classification Problems]), how to choose and/or synthesis features and many more.

5. The last thing I should mention, Andrew taught me how to evaluate an algorithm with a simple number(real number) whether it is working fine or not.

Thank you Mr. Andrew Ng

von buddhi c

Oct 23, 2019

Very impressive course. learned a lot.

von Golo N

Oct 23, 2019

Great introduction into the field of Machine Learning.