Stochastic Gradient Descent Convergence

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Получаемые навыки

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

Рецензии

4.9 (оценок: 160,914)
  • 5 stars
    92,41 %
  • 4 stars
    6,90 %
  • 3 stars
    0,46 %
  • 2 stars
    0,08 %
  • 1 star
    0,12 %
CS
15 июля 2019 г.

The course will give you the incites to understand the data driven mathematical functions to write softwares that can behave or change its behavior, based on stimulus (data).\n\nAndrew Ng is excellent

RD
30 мар. 2018 г.

Perhaps the greatest instructor and the greatest course, I enjoyed it so much I had continued to do it in between my exams and looking forward fto start or deeplearning,ai specialization in a few days

Из урока
Large Scale Machine Learning
Machine learning works best when there is an abundance of data to leverage for training. In this module, we discuss how to apply the machine learning algorithms with large datasets.

Преподаватели

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    Andrew Ng

    Instructor

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