How Google does Machine Learning

What is machine learning, and what kinds of problems can it solve? Google thinks about machine learning slightly differently -- of being about logic, rather than just data. We talk about why such a framing is useful when thinking about building a pipeline of machine learning models. Then, we discuss the five phases of converting a candidate use case to be driven by machine learning, and consider why it is important the phases not be skipped. We end with a recognition of the biases that machine learning can amplify and how to recognize this.
Course info
Level
Beginner
Updated
Jul 14, 2020
Duration
3h 22m
Table of contents
Module 1 Introduction to specialization
Module 2- What it means to be AI first
Module 3- How Google does ML
Module 4- Inclusive ML
Module 5- Python notebooks in the cloud
Module 6- Summary
Description
Course info
Level
Beginner
Updated
Jul 14, 2020
Duration
3h 22m
Description

What is machine learning, and what kinds of problems can it solve? Google thinks about machine learning slightly differently -- of being about logic, rather than just data. We talk about why such a framing is useful when thinking about building a pipeline of machine learning models. Then, we discuss the five phases of converting a candidate use case to be driven by machine learning, and consider why it is important the phases not be skipped. We end with a recognition of the biases that machine learning can amplify and how to recognize this.

About the author
About the author

Build, innovate, and scale with Google Cloud Platform.

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