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

167,025 évaluations
42,760 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

25 juin 2020

This course is a very applicable. Professor Ng explains precisely each algorithm and even tries to give an intuition for mathematical and statistic concepts behind each algorithm. Thank you very much.

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.

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276 - 300 sur 10,000 Avis pour Apprentissage automatique

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





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

par Dhruva

2 janv. 2020

A exceptionally great course for beginners in the field.

par Maurya R

3 juin 2020

It is a very good course for Beginners. It's worth it!

par Sasker G

5 juin 2019

Great course to understand how machine learning works!

par Mohammed M

3 avr. 2019

I learned a lot from this course, very recommended

par Yuhang T

17 janv. 2020

thank you, I have learned a lot from this class.

par 个a

2 avr. 2019

excellent class.worth your time and thank you ng

par Roei B

17 janv. 2019

10/10. Andrew is an amazing teacher. Thanks!

par zhaoyi

2 janv. 2020

Very good intro course to machine learning

par Zilin L

7 juin 2019




par Hamed B

5 juin 2019


par Bhanu p T

1 janv. 2019

Loved it. Easy and Excellent Course

par Lưu V L

5 août 2020

best ML course in the world !!

par Jaspinder S V

8 août 2015

Awesome course for beginners.

par Mulat Y

14 févr. 2020

Machine Learning

Data Science

par Mewada A J

5 août 2020

best experience of learning

par 梁驰

8 févr. 2020


par chandan k

6 juin 2019

Great course to study!

par Eugene M

4 janv. 2019

Very useful course!