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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.

Objectives: ●Define common 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 Image of the five phases of machine learning. This course focuses on the
first: define an ML problem and propose a solution.

Is This Course Right for Me?

This is my first machine learning course. Welcome! We recommend going through all the material in order. START LEARNING I have been taking some other classes on machine learning. Go through all the modules in order, or select only those modules that interest you. START LEARNING I have some education in machine learning, but I would like to get more information on how to set up my problem so I can get started on a project. This course will have some elements that may be too basic for you. We recommend focusing on these sections: ●The ML Mindset ●Deciding on ML ●Try it Yourself - Part 1 ●Formulating a Problem ●Try it Yourself - Part 2 Next Common ML Problems

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