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기계 학습(으)로 돌아가기

기계 학습, 스탠퍼드 대학교

4.9
(102,524개의 평가)

About this Course

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....

최상위 리뷰

대학: SB

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

대학: RD

Mar 31, 2018

Perhaps the greatest instructor and the greatest course, I enjoyed it so much I had continued to do it in between my exams and looking forward fto start or deeplearning,ai specialization in a few days

필터링 기준:

24,612개의 리뷰

대학: Brian Lee

May 25, 2019

There's one saying in Chinese that says "一日為師,終身為師" which means once being someone's teacher, even just one day, you're the teacher for the rest of his life. Thank you for all your efforts and I really appreciate it. I'll keep working on Machine Learning and hopefully one day I can do the same contribution to the human society as you did.

대학: Justin LeBlanc

May 25, 2019

Excellent overview on Machine Learning. I feel like I now know what's possible and if given a problem in machine learning, I would know how to get started.

대학: John Gerald Griffith III

May 24, 2019

The course was informative, interesting and enjoyable. The programming exercises were challenging without being impossible - even for a older timer who hadn't transposed a matrix in 42 years!

대학: Cedric AUTRET

May 24, 2019

great class, thanks Andrew

대학: Akram Nakhaei

May 24, 2019

A wonderful course with a wonderful professor. I enjoyed every single moment.

대학: Venkateswaran M

May 24, 2019

Awesome, amazing and engaging are some of the words to describe this course. Andrew is a fabulous teacher and is thorough in aspects of machine learning. Looking forward to learning many more courses under his guidance.

Thanks again,

Venkateswaran Mahadeva

대학: Малик Диана Геннадиевна

May 24, 2019

Thank you!

대학: MARIMUTHU MADASAMI

May 24, 2019

One of the best online course i have done till now. Thanks to Andrew Ng and Stanford.

대학: Adarsh Kumar

May 24, 2019

The best Introductory Course on ML ever. No Pre-requisites allows anyone with the interest to learn ML learn it in the best possible manner. The course not only gives the Theory but also develops Intuition behind every algorithm which helps to retain the essence of the entire material. Not only the Theory but also the Practical Advices that the prof gives helps you to implement a ML Project from Scratch and Diagnose any possible error that may creep in, some of which aren't even used by many Industry Professionals. The prof is very humble and teaches you more like a friend, giving examples on how simple things may go wrong, also accepting that some of the concepts are not so easy to digest, so don't worry. The course is superbly organised which helps learners learn everything that the instructor wants to teach. The Quizzes, in-Lecture questions, Programming Exercises enable you to step through a path of- learning the theory, building the intuition, getting practical advices, implementing the code and inspiring you to work on your own projects. The Discussion Forum is always very active, you could clear any and every doubt of yours. Thanks and Congrats Prof. Andrew Ng on making the best MOOC ever!!

대학: Anil Nekuri

May 24, 2019

I recommend this course to people who have no idea of machine learning. After completing you will be completely confident and ready to work on machine learning problems.