Launching into Machine Learning

Starting from a history of machine learning, we discuss why neural networks today perform so well in a variety of problems. We then discuss how to set up a supervised learning problem and find a good solution using gradient descent. This involves creating datasets that permit generalization; we talk about methods of doing so in a repeatable way so as to support experimentation.
Course info
Level
Beginner
Updated
Sep 21, 2020
Duration
3h 53m
Table of contents
Introduction to Course
Improve Data Quality and Exploratory Data Analysis
Practical ML
Optimization
Generalization and Sampling
Summary
Course Resources
Description
Course info
Level
Beginner
Updated
Sep 21, 2020
Duration
3h 53m
Description

Starting from a history of machine learning, we discuss why neural networks today perform so well in a variety of problems. We then discuss how to set up a supervised learning problem and find a good solution using gradient descent. This involves creating datasets that permit generalization; we talk about methods of doing so in a repeatable way so as to support experimentation.

About the author
About the author

Build, innovate, and scale with Google Cloud Platform.

More from the author
Getting Started with Google Kubernetes Engine
Intermediate
2h 1m
Oct 21, 2020
More courses by Authored by Google Cloud