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Lecture Collection | Machine Learning

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  • Lecture Collection | Machine Learning
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  • by Adam
  • Course level: Beginner
  • Duration 4h 44m
  • Total Enrolled 0
  • Last Update December 24, 2020

Description

This course (CS229) — taught by Professor Andrew Ng — provides a broad introduction to machine learning and statistical pattern recognition. Topics include supervised learning, unsupervised learning, learning theory, reinforcement learning and adaptive control. Recent applications of machine learning, such as to robotic control, data mining, autonomous navigation, bioinformatics, speech recognition, and text and web data processing are also discussed.

Topics for this course

20 Lessons4h 44m

Lecture Collection | Machine Learning

Lecture 11:08:39
Lecture 21:16:15
Lecture 31:13:13
Lecture 41:13:06
Lecture 51:15:30
Lecture 61:13:08
Lecture 71:15:44
Lecture 81:17:19
Lecture 91:14:18
Lecture 101:12:55
Lecture 111:22:18
Lecture 121:14:22
Lecture 131:14:56
Lecture 1401:20:39
Lecture 151:17:17
Lecture 161:13:05
Lecture 171:16:59
Lecture 181:16:37
Lecture 191:15:54
Lecture 201:16:39

About the instructor

5.00 (3 ratings)

62 Courses

294 students

49.00