Gradient descent for multiple linear regression

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学習するスキル

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

レビュー

4.9 (3,945 件の評価)

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  • 4 stars
    7.83%
  • 3 stars
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  • 2 stars
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  • 1 star
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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.

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.

レッスンから

Week 2: Regression with multiple input variables

講師

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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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