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 those biases.
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.
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- 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.