Crash course: Problem framing in machine learning
Objectives:
Define common machine learning (ML) terms
Describe examples of products that use ML and general methods of ML problem-solving used in each
Identify whether to solve a problem with ML
Compare and contrast ML to other programming methods
Apply hypothesis testing and the scientific method to ML problems
Have conversations about ML problem-solving methods
Estimated Course Length: 1 hour
Introduction
Welcome to Introduction to Machine Learning Problem Framing! This course helps you frame machine learning (ML) problems. This course does not cover how to implement ML or work with data.
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