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Articles Home » Artificial Intelligence and Machine Learning » Become an AI and Machine Learning Specialist, Part II

Become an AI and Machine Learning Specialist, Part II

Building a Recommendation System with Python Machine Learning & AI with Lillian Pierson, P.E.

Discover how to use Python to build programs that can make recommendations. This hands-on course explores different types of recommendation systems, and shows how to build each one.

1h 38m • COURSE

Discover how to use Python—and some essential machine learning concepts—to build programs that can make recommendations. In this hands-on course, Lillian Pierson, P.E. covers the different types of recommendation systems out there, and shows how to build each one. She helps you learn the concepts behind how recommendation systems work by taking you through a series of examples and exercises. Once you're familiar with the underlying concepts, Lillian explains how to apply statistical and machine learning methods to construct your own recommenders. She demonstrates how to build a popularity-based recommender using the Pandas library, how to recommend similar items based on correlation, and how to deploy various machine learning algorithms to make recommendations. At the end of the course, she shows how to evaluate which recommender performed the best.

Topics include:

Working with recommendation systems
Evaluating similarity based on correlation
Building a popularity-based recommender
Classification-based recommendations
Making a collaborative filtering system
Content-based recommender systems
Evaluating recommenders

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