stanford cs229 - Axtarish в Google
This course provides a broad introduction to machine learning and statistical pattern recognition. Topics include: supervised learning. CS229: Machine Learning · Moses Charikar · Spring 2021 · Summer 2022
Led by Andrew Ng, this course provides a broad introduction to machine learning and statistical pattern recognition. Topics include: supervised learning ...
This course provides a broad introduction to machine learning and statistical pattern recognition. Topics include: supervised learning.
Продолжительность: 1:44:31
Опубликовано: 27 авг. 2024 г.
This Stanford graduate course provides a broad introduction to machine learning and statistical pattern recognition. CS229 · Machine Learning · Programming Abstractions · CS109
Продолжительность: 1:15:20
Опубликовано: 17 апр. 2020 г.
11 июн. 2023 г. · Given data like this, how can we learn to predict the prices of other houses in Portland, as a function of the size of their living areas?
Продолжительность: 1:18:42
Опубликовано: 1 авг. 2023 г.
Descriptions ... This is another ML course offered by Andrew Ng. Since it is graduate-level, it focuses more on the mathematical theory behind machine learning.
All lecture notes, slides and assignments for CS229: Machine Learning course by Stanford University. The videos of all lectures are available on YouTube.
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