Gradient descent for multiple linear regression

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Regularization to Avoid Overfitting, Gradient Descent, Supervised Learning, Linear Regression, Logistic Regression for Classification

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4.9(3,917 個評分)

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YD

2022年10月2日

Excellent course. Intended as a refresher, and had a better understanding of feauture engineering, scaling, and logistic regression. Good hands on labs were very practical, engaging and rewarding.

KY

2022年9月8日

Professor Andrew can explain complex knowledge clearly. The Python lab can help learner to understand algorithm. The course is more valuable. I am excited to learn the next course for advanced ML.

從本節課中

Week 2: Regression with multiple input variables

教學方

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    Andrew Ng

    Instructor

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    Eddy Shyu

    Curriculum Architect

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    Aarti Bagul

    Curriculum Engineer

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    Geoff Ladwig

    Curriculum Engineer

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