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Machine Learning

Motivation

You've probably heard about machine learning, artificial intelligence, etc. It's an integral part of data science. So we'll teach you the basics about ML: the process, formulating a problem in a machine learning setting, feature generation, model selection and evaluation, and how to interpret results before eventually deploying the models.

For a more detailed coverage of machine learning for social good and policy, you can take a look at lectures for the Machine Learning and Public Policy class.

We have a few overview topics in this guide:

• Intro to Machine Learning Slides

• Machine Learning Book Chapter from Big Data and Social Science

• Jupyer Notebook going over building ML models

• Ethics, Bias, Fairness in ML