Gradient Descent in Practice II - Learning Rate

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Skills You'll Learn

Logistic Regression, Artificial Neural Network, Machine Learning (ML) Algorithms, Machine Learning

Reviews

4.9 (154,537 ratings)
  • 5 stars
    92.44%
  • 4 stars
    6.90%
  • 3 stars
    0.45%
  • 2 stars
    0.08%
  • 1 star
    0.10%
SW
Nov 8, 2020

Excellent course, highly mathematical overview of how introductory machine learning models work. Thanks to Andrew Ng for putting together a lot of great material and challenging quizzes and exercises.

OK
Apr 17, 2018

You need to know, what do you want to get out of this course. It gives you a lot of information, but be prepared to work hard with linear algeabra and make efforts to compute things in Mathlab/Octave.

From the lesson
Linear Regression with Multiple Variables
What if your input has more than one value? In this module, we show how linear regression can be extended to accommodate multiple input features. We also discuss best practices for implementing linear regression.

Taught By

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    Andrew Ng

    Instructor

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