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返回到 机器学习

學生對 斯坦福大学 提供的 机器学习 的評價和反饋

4.9
119,262 個評分
29,280 個審閱

課程概述

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....

熱門審閱

MN

Oct 31, 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.

NN

Oct 15, 2016

It's a good introduction - not too complicated and covers a wide range of topics. The programming exercises are well put together and significantly help understanding. The free Matlab license is nice.

篩選依據:

27901 - 机器学习 的 27925 個評論(共 28,400 個)

創建者 Utkarsh S

Jun 21, 2019

Good Course but too much theoretical.

創建者 Yashwanth M

Jun 20, 2019

Good

創建者 Abhijit S

Jun 22, 2019

Great course for people who want to generate their interest in the world of Machine Learning.

創建者 Peter M H

Jun 22, 2019

An excellent course providing a good introduction to key ML concepts.

創建者 Atul K S

Jun 24, 2019

Theory classes are very good, understandable. It would have been good if a bit more focus were on implementation.

創建者 Umesh B

Jun 26, 2019

Course is fantastic for beginner and it is well designed course for one who start or looking to study the ML

創建者 Hujun Q

Jun 27, 2019

Nice for the beginners to quickly get basic ML knowledges, but not good for the medium or advanced level learners who want to go deeper into theories.

創建者 Ihar B

Jun 28, 2019

Very Good, but I wish it would be more end to end

創建者 Hidetsugu T

Jun 28, 2019

Prof Ng explanations and helping the student understand the topics in an intuitive was was very beneficial.

創建者 Avaneesh

Jun 28, 2019

The course was pretty good...

創建者 Amerigo T

Jun 27, 2019

Excellent Course

創建者 Roshen M

Jun 27, 2019

The content was really good. I enjoyed getting a more mathematical learning perspective on these topics, as it provides alot more context for applications. The course can be imrpoved by updating the content, as it appears to be old. I enjoyed doing this in matlab. I transistioned this to python aswell for future references. Thankyou Andrew Ng for the great content and looking forward to diving into the deep learning.ai course

創建者 Satyam s

Jun 28, 2019

I have just completed week 3 and I think study material is good. if some coding example are given to exercise then it would be more easy to learn and grab some extra knowledge. I am feeling that we get very less time to work on coding.

創建者 Radu S

Jun 30, 2019

They should really think about switching to Python, as, after trying Octave for this course, I definitely do not recommend it. Otherwise the course is really good, although I found myself questioning some mathematics demonstrations not provided in this course, which I will look for, and also I will be reading a few books to better understand the subject. However, overall it's been a great experience, and it's always easier to understand something when you have an expert like professor Ng teaching you (even virtually).

創建者 Savyaraj D

Jul 01, 2019

I loved the hands on implementation provided in this course through the programming exercises. Also, the advice for applying machine learning systems on real problems and their performance evaluation was very helpful. Although a more rigorous analysis of the statistics and linear algebra could have been more satisfying for me, I really enjoyed the course overall.

創建者 Hritik M

Jun 29, 2019

It's a very good course for the beginners in the field of machine learning,every topic is explained by well suited examples so the students get an idea about the topic.

創建者 VInjit R

Jun 29, 2019

I thought ML could give me a heart attack cause of math but the intuitions made it lot easier

創建者 Prabhat D

Jun 30, 2019

Great course. But course material has not been updated since many years. Maybe material should be updated. Also would have preferred Python instead of Octave.

創建者 Mehrdad P

Jul 04, 2019

helps you get familiar with the basic concepts of machine learning, but not for in-depth discussion.

創建者 Navish G

Jul 02, 2019

A very good course, only problem is that it is not taught in Python

創建者 Mark C

Jul 05, 2019

Some complicated topics very well explained

創建者 oumaima b

Jul 04, 2019

A good and interactive leson that explains in a simple way.

thank you so much for it

創建者 Prakarsh G

Jul 06, 2019

Love the course so far! However, the instructor is inaudible at certain points.

創建者 Atakan S B

Jul 05, 2019

Sometimes the assignments are ambigious. Other than that the course is just fine

創建者 Sanjay K

Jul 05, 2019

The machine learning course offered by coursera is a very useful one for the beginners. Learnt a lot from this course