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Вернуться к Машинное обучение

Машинное обучение, Стэнфордский университет

4.9
Оценки: 100,074
Рецензии: 24,983

Об этом курсе

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....

Лучшие рецензии

автор: QP

Jun 25, 2018

This course is extremely helpful and understandable for engineers and researchers in the CS field. Many thanks to the prof. Ng Yew Kwang for his great course as well as supporters in the course forum.

автор: 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.

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Рецензии: 24,109

автор: Gustavo Serrano

Apr 24, 2019

So far the course has been very explanatory, detailed and with good amounts of hands-on. Very good so far!

автор: Mohamed Hassona

Apr 24, 2019

I'm so great full for this course

автор: Rafik RAHOUI

Apr 24, 2019

Great teacher and outstanding content!!! Thank you.

автор: Anton DeFrancesco

Apr 24, 2019

Overall, this is a great course and I learned an enormous amount of information. The biggest issue I had was the disconnect between the course and the assignments/quizzes. Although they had help sections, because you couldn't ask direct questions about the algorithms/quizzes, if you had a problem, you were basically on your own. (At least that is what it felt like.) For example, if you missed a quiz question and couldn't figure out the answer, there seemed little recourse to find the actual answer. In a couple cases, I decided to just take the 80% on a quiz simply because I had no idea what the answer was.

автор: Shashank Gandhi

Apr 24, 2019

Excellent Course, Thank you so much for this!!

автор: Gaddam Akhileshwar reddy

Apr 24, 2019

Selecting questions and answering them is not so great.... we just want the basic idea.

автор: G Bala Kowsalya

Apr 24, 2019

Amazing course to understand underlying concepts of Machine Learning before starting kick-starting practical implementation. He makes every complex concept too to just a piece of cake. GREAT !

автор: Abhishek Verma

Apr 24, 2019

Very comprehensive coverage of all the aspects of the course.

автор: Yi Li

Apr 24, 2019

Great Class, Great Experience, Great Andrew, Valuable Cutting-edge Knowledge and Materials. This class has opened up my new erra and took me jump into the new page of life!

автор: Jean Lee

Apr 24, 2019

谢谢您!

thank you from my bottom of heart!