Checking gradient descent for convergence

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Destrezas que aprenderás

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

Reseñas

4.9 (3,990 calificaciones)

  • 5 stars
    91,32 %
  • 4 stars
    7,79 %
  • 3 stars
    0,55 %
  • 2 stars
    0,12 %
  • 1 star
    0,20 %

KY

8 de sep. de 2022

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

2 de oct. de 2022

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.

De la lección

Week 2: Regression with multiple input variables

Impartido por:

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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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