Machine Learning
Andrew NgThis course provides a broad introduction to machine learning and statistical pattern recognition. The course also discusses recent applications of machine learning, such as to robotic control, data mining, autonomous navigation, bioinformatics, speech recognition, and text and web data processing.
Topics include: supervised learning (generative/discriminative learning, parametric/non-parametric ... more
| Publishes | Daily | Episodes | 20 | Founded | 16 years ago |
|---|---|---|---|---|---|
| Category | Technology | ||||
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Lecture by Professor Andrew Ng for Machine Learning (CS 229) in the Stanford Computer Science department. Professor Ng provides an overview of the course in this introductory meeting.
Lecture by Professor Andrew Ng for Machine Learning (CS 229) in the Stanford Computer Science department.
science, math, engineering, computer, technology, robotics, algebra, locally, weighted, logistic, regression, linear, probabilistic, interpretation, Gaussian, distribution, digression, perceptron
Lecture by Professor Andrew Ng for Machine Learning (CS 229) in the Stanford Computer Science department. Professor Ng lectures on Newton's method, exponential families, and generalized linear models and how they relate to machine learning.
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😁😁😁😁😁😁😁😁😁😁😁😁😁😁😁😁😁😁😁😁😁😁😁😃😃😃😃😃😃😃😃😃😃😃😃😃😃😃😃😃😃😁😁😁😁😁😄😄😄😄😄😄😄😄😄😄😄😄😄😄😄😄😄😄😄😄😄😄😄
Apple Podcasts5ania102
Poland8 years ago - awesome course
I took this course and it is the way to get started with fundementals of ML.
Apple Podcasts5MarryC1
United States9 years ago - My iPhone is not playing the video....
Not playing......
Apple Podcasts1Hqqqqqq
Singapore9 years ago - Rubbish
No structure, no plan, nothing.
Apple Podcasts1henuaenata
United Kingdom11 years ago - Thank you so much
Really super course. Thank you prof. Ng and Stanfor U.
Apple Podcasts5УлугбекUnited States13 years ago
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Apple Podcasts | #185 |  India/Technology |
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