Machine Learning and AI Foundations: Recommendations

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Created by: Adam Geitgey

Produced in 2017

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Course Description

This project-based course shows programmers of all skill levels how to use machine learning to build programs that can make recommendations. In this course, Adam Geitgey walks you through a hands-on lab building a recommendation system that is able to suggest similar products to customers based on past products they have reviewed or purchased. The system can also identify which products are similar to each other.

Recommendation systems are a key part of almost every modern consumer website. The systems help drive customer interaction and sales by helping customers discover products and services they might not ever find themselves. The course uses the free, open source tools Python 3.5, pandas, and numpy. By the end of the course, you'll be equipped to use machine learning yourself to solve recommendation problems. What you learn can then be directly applied to your own projects.

Intermediate Level

Time: 58m 7s

Instructor Details

Adam Geitgey

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Adam Geitgey is a developer who is captivated by how machine learning is changing software development.

His background is in building large-scale websites and helping startups in Silicon Valley take advantage of machine learning. He has a passion for putting theory into practice- "taking cutting-edge developments in machine learning and sharing them with software developers of all skill levels.