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Voltar para Aprendizagem Automática

Aprendizagem Automática, Universidade de Stanford

99,742 classificações
24,929 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 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.

por OK

Apr 18, 2018

You need to know, what do you want to get out of this course. It gives you a lot of information, but be prepared to work hard with linear algeabra and make efforts to compute things in Mathlab/Octave.

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24,059 avaliações

por Hernan Petringa

Apr 20, 2019

It's the best course I have ever took, and Prof. Andrew Ng is an excellent teacher. I will continue studying these courses and I strongly recommend them.

por Harsh Desai

Apr 20, 2019

Still one of the best Intro. to Machine Learning Course out there, with most active community. You won't regret your time spent learning, and exercises are fun to work with.

por Harjeet Singh

Apr 20, 2019

Very good course, Highly recommended.

por Alasdair Hatfield

Apr 20, 2019

An excellent course. It gets into the background maths without getting bogged down with it. It gives insight into not only the theory behind various facets of machine learning but also the practical aspects of applying machine learning to a problem.

Andrew - thank you !

por Sreehari Mohan

Apr 20, 2019

Amazing teaching. He is explaining very high level stuffs but he explains it so well that we understand all the concepts very clearly. Excellent programming exercises which really put us to the test and solidifies our understanding of the subjects that was taught. A must course for anyone planning to take up machine learning as a career path. Thank you so much for all the information you provided and for doing it in such a fashion that I understood everything that was taught.

por Abhishek

Apr 20, 2019

It is the best learning material way to understand Machine Learning/ Deep Learning,

from basic to the high level,

Thank Andrew Ng's !!!!!!!

por Nikolay Dobrev

Apr 20, 2019

The best introduction course that I could have, thank you for the effort of creating it!

por Thomas Huber

Apr 20, 2019

It was great! The lectures together with the programming exercises gave me a solid base to proceed further into the matter.

por Ayush Dhaka

Apr 20, 2019

The best and the easiest way to understand the basics of machine learning.

por sathiyajith babu sutti manoharan

Apr 20, 2019

This is the best Learning material for Beginners into the field of ML/DL.