Chevron Left
Retour à Apprentissage automatique

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

119,018 notes
29,228 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


Mar 27, 2018

Very well structured and delivered course. Progressive introduction of concepts and intuitive description by Andrew really give a sense of understanding even for the more complex area of the training.


Sep 27, 2018

One of the best course at Coursera, the content are very well versed, assignments and quiz are quite challenging and good, Andrew is one of the best guide we could have in our side.\n\nThanks Coursera

Filtrer par :

201 - 225 sur 28,348 Examens pour Apprentissage automatique

par Hugo L M

Nov 19, 2018

Great Course, I've learned here everything I needed to start in this world.

par Eugene K

Nov 17, 2018

very useful and clear

par Robin

Nov 17, 2018

It was worth every minute spent!

par Pedro B M

Nov 19, 2018

The course from Andrew Ng gives a broad overview of machine learning techniques with several hands on applications. It's very didactic and well structured. Every new concept taught is supplemented with interesting examples. Highly recommend for anyone starting in the field.

par Shubham K

Nov 17, 2018

I am currently doing this course.. And till now I find this course worth of doing... Thanks to Andrew for providing the intuitions in such a way that you can easily understand Why we are doing the steps in the Math.

par Sreeharsha L

Nov 18, 2018

My First ML course and I am confident I learned basics the right way. Great course and excellent instructor.

par Fabian M H C

Dec 03, 2018

Great course on machine learning. Steep learning curve to grasp different types of supervised learning models but after a while you will get the hang of it. Looking forward to go into Deep Learning next.

par Neil D

Dec 03, 2018

Great introduction to the concepts and current knowledge of machine learning. Challenging and rewarding.

par Ahsan M

Dec 05, 2018

Wonderful course. Enjoying every bit of it

Never thought stats could be fun until this

par vincentX3

Dec 03, 2018

fantastic induction for machine learning! Thanks Pro. Andrew 's explicit teaching. This course is exactly a great guide for ML beginner.

par zhangheng

Dec 03, 2018



Dec 03, 2018

Best course for learning Machine Learning concepts and its effective implementation

par Musa Y

Dec 04, 2018

Thank you Andrew Ng for making this course available for free to all of us that are interested in machine learning topics. Thanks to you I have a very good base on machine learning, and I am more clear on what to do next in this area. I hope to take your deep learning courses because I really like how detailed you explain all of the concepts of the class and I want to continue learning more about it. Thank you. I really appreciate it. Best regards, Musa

par Abhilash R

Dec 04, 2018

Thank you Prof. Andrew Ng and Coursera for making this wonderful course.

par Gerardo G S

Dec 04, 2018

Completo y accesible.

par Lin N

Dec 05, 2018

thank you, it's very friendly to freshman. after learn this course you can have a basic fundamental about machine learning.

par peter l

Dec 05, 2018

very good course

par Adinoyi S

Dec 03, 2018

Great course!!!

par Nima s

Dec 04, 2018

Perfect Course

par purunhong

Dec 04, 2018


par Robert H

Dec 04, 2018

Great teacher and approach of learning from really basics to actually working applications! Thanks Andrew!

par Jagadeeswara R R

Dec 05, 2018

it is good for beginners to become an expert in data science. Thanks for the useful sessions,assignments and quizzes

par ali a

Dec 03, 2018

A fantastic introduction to machine learning concepts, algorithms, math foundations, and practical advise on applications. Great instructor, great lectures, and very useful programming assignments.

par 赵煜天

Dec 03, 2018

It is a very useful class. Through there are many difficult technical points, it is still easy to learn because of the patient and detailed teaching style. I believe you will love this course if you are planning to learn something about the machine learning

par CittySteven

Dec 04, 2018

Hello, machine world!