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Avis et commentaires pour d'étudiants pour Apprentissage automatique par Université de Stanford

4.9
étoiles
165,581 évaluations
42,411 avis

À propos du cours

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....

Meilleurs avis

BK
11 juil. 2021

I've learned a lot from this machine learning course. A huge thanks to prof. Andrew for guiding me throughout this course, and also Coursera for providing me with such a platform to learn this course.

MN
30 oct. 2017

Great overview, enough details to have a good understanding of why the techniques work well. Especially appreciated the practical advice regarding debugging, algorithm evaluation and ceiling analysis.

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251 - 275 sur 10,000 Avis pour Apprentissage automatique

par Luka B

30 janv. 2019

Great course, only a bit updated. Would be wonderfu if there was an update (or additional week of two) for 2019!

par 黄生

1 avr. 2021

Thank you to the course team! Your efforts make the world more better , Let's make things better and better !

par Mai S

6 juin 2019

Thanks Andrew for this informative course. I am looking forward to taking deep learning specialize as well.

par Nguyễn H T

5 janv. 2019

This course is absolutely amazing and suitable for ones who want to begin to study about Machine Learning.

par Shilpa

15 sept. 2021

Highly recommended for those who have passion or interest in learning machine learning. Neatly presented.

par Lukas C

31 oct. 2020

VERY GOOD!!!! BEST CLASS TO LEARN Machine Learning as a beginner and easy, pretty concise intuitions.

par Anton S

21 mars 2019

It's a good way to get an understanding of machine learining principles and to improve your English.

par dinh

15 déc. 2018

Great course on Machine Learning. I learned a lot!

Thanks to Professor Andrew NG and all the mentors.

par Sarbaseesh G

4 août 2021

it gives you the adequate support for your little baby steps to walk into the wonderful ML world

par Yu-Shih C

4 janv. 2019

Great introductory course for Machine Learning using MATLAB/Octave. Highly recommended.

par syh

9 févr. 2020

从机器学习新人、小白,通过这门课程充分理解了机器学习的原理,掌握了一些机器学习的技巧,并能够根据学到的知识,举一反三,应用到更复杂的机器学习算法的理解中。总而言之受益匪浅。

par runner_yang

25 juil. 2019

Thank you sincerely! I have learned a lot through this course. I love Ng and coursera!

par Zihao Z

10 févr. 2020

8个exercise出的非常好,程序中给的note和hint有助于理解计算过程、加深记忆。

吴恩达老师英语很有亲和力,对于我这样的英语听力一般的人来说非常友好

par Phani M

25 mai 2020

It would be great if the assignments would be in python rather than octave.

par Mohammed R

7 août 2015

the audio is sometimes noisy, but everything else is perfect, thanks a lot

par Gabriel M

2 oct. 2018

Great!, this was my first aproach to machine learning and I learned a lot

par 王奇

6 août 2015

吴恩达老师的这门课帮助无数学生了解了什么是机器学习,虽然有时候作业会很没有头绪但是通过努力研究一般都能做出来,而且满满的成就感。。感谢andrew

par Mattias J

24 avr. 2020

A great course to start your journey into the machine learning universe.

par Shrey S

3 juin 2020

Terrific introduction course and taught in a very engaging manner!

par Sahibjot S

14 mars 2021

Excellent course !! Way of teaching of Sir Andrew Ng is superb.

par MRINAL G

17 janv. 2020

Best Online Machine Learning Course available. Excellent tutor.

par carol

3 août 2020

吴老师的机器学习讲的非常好,浅显易懂,

理论与实践相结合,易于掌握各个知识点。

谢谢吴老师精彩的讲解。

期待学习吴老师的其他课程!

par zhiyiwang

15 sept. 2019

Very understandable and straightforward class for beginners.

par akhilteja b

28 juil. 2021

best course to learn basics and depth of machine learning

par Donny I

15 déc. 2019

very usefull to study the fundamental of machine learning