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Machine Learning, Stanford University

4.9
88,034 個評分
22,570 個審閱

課程信息

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....

熱門審閱

創建者 DW

Feb 20, 2016

Fantastic intro to the fundamentals of machine learning. If you want to take your understanding of machine learning concepts beyond "model.fit(X, Y), model.predict(X)" then this is the course for you.

創建者 MM

Jul 08, 2018

Great course! Learned lots of stuffs about ML. I think the programming exercises and the quizzes are efficient way to me to master this course, just watching videos without any practice benefits less.

篩選依據:

21,714 個審閱

創建者 Zhi Wei Set

Dec 18, 2018

Thank you Andrew for sharing his knowledge and making Machine Learning easy to understand.

創建者 Puravkumar Patel

Dec 18, 2018

this course is amazing.......thank you

創建者 Chen Zhe

Dec 18, 2018

a great introductory course to machine learning in general

創建者 Anchal Srivastava

Dec 18, 2018

Very well taught. I recommend every machine learning student to start with this course.

創建者 Cojocari Iurii

Dec 18, 2018

Awesome

創建者 Jiri Smerda

Dec 18, 2018

Excellent! I did enjoy the course and I was very happy to apply my university algebra knowledge in practice after many years :-) In addition, I feel like I developed a friendship to Andrew Ng during the course and a was sad that I needed to say goodbye to him at the end of the course :-) Thank you again!

創建者 Ayan Saha

Dec 18, 2018

It was my first course in machine learning and this course really helps me to get a good understanding of what is ML,how to work with different algorithms. This course is really awesome for beginners like me who want to start a career in machine learning.

創建者 Yogesh Manohar

Dec 18, 2018

Hands down one of the best online learning course. If you want to get good foundation in machine learning, look no further. First do this course and then may be try out other specialized courses.

創建者 Manuel Jiménez Romero

Dec 18, 2018

Un curso excelente que me permitió conocer elementos y herramientas esenciales para poder incursionar de una manera satisfactoria en el vasto campo del Machine Learning. Me agradó mucho la didáctica de Andrew Ng. Muchas gracias.

創建者 Andrew Brown

Dec 18, 2018

This is one of the better online courses I have taken. Instructions are clear and the "intuition" descriptions really helped me visualize what was going on.