Mini-Batch Gradient Descent

From the course by Стэнфордский университет
Machine Learning
70694 ratings
Стэнфордский университет
70694 ratings
From the lesson
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.

Meet the Instructors

  • Andrew Ng
    Andrew Ng
    Co-founder, Coursera; Adjunct Professor, Stanford University; formerly head of Baidu AI Group/Google Brain