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Avis et commentaires pour l'étudiant pour Apprentissage automatique par Université de Stanford

4.9
119,101 notes
29,245 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

AA

Nov 11, 2017

Great teaching style , Presentation is lucid, Assignments are at right difficulty level for the beginners to get an under the hood understanding without getting bogged down by the superfluous details.

MN

Jun 15, 2016

Excellent starting course on machine learning. Beats any of the so called programming books on ML. Highly recommend this as a starting point for anyone wishing to be a ML programmer or data scientist.

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201 - 225 sur 28,361 Examens pour Apprentissage automatique

par 王先科

Dec 12, 2018

Perfect lecture!

par HIDEO S

Dec 12, 2018

Excellent!

par 陈小雨

Dec 10, 2018

吴恩达老师讲解的非常的仔细和透彻,这门课程非常适合打算入门机器学习的同学!不过很多问题都讲得比较浅显,这也是为了照顾各个层次的学生,如果需要深入了解机器学习,还需进行更多深入学习!

par Julian L

Dec 10, 2018

It was a great course, I learned a lot about these sciences. Thanks

par Pradipkumar D

Dec 11, 2018

IT WAS THE GREAT EXPERIENCE

par ASHUTOSH B

Dec 11, 2018

It was just amazing

par MANIKANDAN R

Dec 12, 2018

It is a wonderful experience to learn with Andrew, it's my pleasure to learn with him. Before that I thank coursera for giving my opportunity.

par Nick R

Dec 10, 2018

Great introduction

par Marcin A

Dec 11, 2018

Complex concepts illustrative and simply explained. Step by step, very nice for beginners, probably partially also useful for more advanced specialists wanting to systematize their knowledge or learn good practice machine learning workflow.

par Chengkun Z

Dec 11, 2018

A very good course for starters in machine learning

par Kasina J S

Dec 11, 2018

The course is really helping me out learn about machine learning in a very detailed manner and Andrew Ng is an excellent Professor

par JITHU K

Dec 11, 2018

The first course one should take to have an introduction to machine learning. All the concepts are very clearly explained. The MATLAB assignments are helpful to have a practical idea of whatever is learnt in the lectures.

par Kevin R

Dec 12, 2018

Excellent introductory course

par narges s

Dec 10, 2018

I highly recommend this course if you are new to Machine Learning. The course structure is really good and the instructor is highly experienced. The course is highly efficient for a computer science major and there is no excessive talk on advertising the university, etc.

par Patil B V

Dec 11, 2018

This course is great!

I am in love with this course

professor andrew ng is really a great instructor, his teaching methods are really impressive

i am having great time with this course

par Alexandre F

Dec 11, 2018

I found the course very well structured and paced, as well as comprehensive yet easy to follow.

I felt it was a very good introduction to many of the components of a machine learning pipeline and to their application.

par Vil V

Dec 11, 2018

Excellent course. Thank you Dr. Andrew Ng. I enjoyed the course and I like your teaching approach very much. Thanks again

par Arjun S

Dec 12, 2018

Great Knowledge provided for Machine Learning

par Zhiyu W

Nov 24, 2018

It is very intuitive, and the benefit of time invested in it will be pretty high. Even though it was first started in 2011, it is still very helpful to understand machine learning nowadays.

par Oleh A

Nov 24, 2018

Thank you Andrew! It is the best course I've ever taken so far. I'm really grateful to you! I will for sure purchase this course, so that it will show my honest gratitude <3

par Arno B

Nov 24, 2018

Thank you Andrew for this amazing class.

par W Z

Nov 26, 2018

深入浅出

par Adithya K S

Nov 26, 2018

Helped to get the overall foundation of machine learning concepts and the assignments were well framed

par Peter

Nov 26, 2018

Really excellent course on Machine Learning and Andrew Ng is a fantastic instructor. I look forward to doing more of his courses.

par Julio P F

Nov 24, 2018

Un curso muy util. Estructuralmente bien diseñado. Se aprende paso a paso y se recapitulo cada cierto tiempo para no perderla perspectiva. Muy recomendable