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.

Led by Andrew Ng, this course provides a broad introduction to machine learning and statistical pattern recognition. Topics include: supervised learning ...

This Stanford graduate course provides a broad introduction to machine learning and statistical pattern recognition. Machine Learning · CS229 · Programming Abstractions

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Опубликовано: 27 авг. 2024 г.

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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?

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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.

This course provides a broad introduction to machine learning and statistical pattern recognition. Topics include: supervised learning ...