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Voltar para Aprendizagem Automática

Aprendizagem Automática, Universidade de Stanford

102,704 classificações
25,510 avaliações

Informações sobre o curso

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....

Melhores avaliações

por 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

por KM

Aug 11, 2017

Very nicely explained the mathematical topics, even for people like me with some phobia regarding large formulas. Useful hands-on experience with MATLAB coding, which I would have had to learn anyway.

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24,659 avaliações

por SoundVio Art

May 26, 2019

It’s the Excellent Program & Very Useful for Determining Person for All.

por tarengome

May 26, 2019

Fantastic! Thank you so much, Professor Ng!

por Salim Virani

May 26, 2019

I really appreciate the first principles approach to machine learning concepts by Prof. Ng. He not only talks about the various algorithms, models, etc. but also why do these also and models work.


May 26, 2019

Great contents ,helped me understand the basics of machine learning in depth . All concepts were explained in an easy to understand method.

por Ignacio Lirio Barajas

May 26, 2019

Very complete course, touching many aspects of ML in a good, exhaustive way. Interesting, and very demmanding computer tasks. It really takes time and effort to complete it, it's not a joke ;-) I would like the videos had better audio quality. Thanks Andrew and all of the Mentors in the Forums for your great patience and knowlodge. MUCHAS GRACIAS!!!

por Gonzalo Martín IRUSTA

May 26, 2019

Great course! My first interaction with these subjects, which I find very interesting and useful. I feel I got enough tools along the course for starting applying machine learning and face some challenges.Thanks for all the material and forum answers.

por Rui Hao

May 26, 2019

Alles Super!! Vielen Dank!!

por 龙绍沛

May 26, 2019


por Raghvendra Kumar

May 26, 2019

This is surely a demanding course.

But many of the basics are clear after completing this course. It is definitely an exciting field to learn. Now thinking, where to apply and what next!

por Harsh Parikh

May 26, 2019

The course is really helpful for people starting from scratch