Google Cloud Skills Boost

How Google Does Machine Learning

universal_currency_alt 10 Credits
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.

This is the first course of the Machine Learning on Google Cloud series. After completing this course, enroll in the Launching into Machine Learning course.

When you complete this course, you can earn the badge displayed above! View all the badges you have earned by visiting your profile page. Boost your cloud career by showing the world the skills you have developed!

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Course Info
Objectives
  • Frame a business use case as a machine learning problem.
  • Gain a broad perspective of machine learning and where it can be used.
  • Convert a candidate use case to be driven by machine learning.
  • Recognize biases that machine learning can amplify.
  • Leverage Google Cloud Platform tools and environment to do machine learning.
Available languages
English
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