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Voltar para Aprendizagem Automática

Aprendizagem Automática, Universidade de Stanford

4.9
93,527 classificações
23,688 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 EJ

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.

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.

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22,855 avaliações

por Rosario Davide D'Amico

Feb 17, 2019

Great course to start the topic of Machine Learning

por Joel Joel

Feb 17, 2019

exceptional course

por

Feb 17, 2019

very very good! Thank you!

por Mithun Sahani H S

Feb 17, 2019

Andrew is one of the best faculty I have seen who teaches so well to understand concepts better. He gives so many examples to gain the better knowledge of it.

por Jui-Yu Hung

Feb 17, 2019

Helpful class to learn machine learning!

por Arthur

Feb 17, 2019

吴恩达老师讲课真真真的是生动又形象啊,非常好懂,当然课后复习,做习题也是必不可少的,强烈推荐啊啊啊!!!

por Syed Dawer Hussain

Feb 17, 2019

Very well prepared course. Andrew Ng is a legend.

por Olaf Neumann

Feb 17, 2019

The course gives a well balanced introduction to machine learning and doesn't shy away from introducing in-depth knowledge and coding exercises to the students. I very much enjoyed participating in this course and I am sure that the learnings from this course will benefit my future work. Thank you.

por shubham goel

Feb 17, 2019

Nice teaching techniques. Awesome course. I would highly recommend this course to others.

por Abhishek Saxena

Feb 17, 2019

the course is good and money-worth.

instructor is very helpful.