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The Unsupervised Learning Workshop
book

The Unsupervised Learning Workshop

by Aaron Jones, Christopher Kruger, Benjamin Johnston, Richard Brooker, John Wesley Doyle, Priyanjit Ghosh, Sani Kamal, Ashish Pratik Patil, Philip Solomon, Geetank Raipuria
July 2020
Intermediate to advanced content levelIntermediate to advanced
550 pages
9h 58m
English
Packt Publishing
Content preview from The Unsupervised Learning Workshop

1. Introduction to Clustering

Overview

Finding insights and value in data is the ambitious promise that has been seen in the rise of machine learning. Within machine learning, there are predictive approaches to understanding dense information in deeper ways, as well as approaches to predicting outcomes based on changing inputs. In this chapter, we will learn what supervised learning and unsupervised learning are, and how they are applied to different use cases. Once you have a deeper understanding of where unsupervised learning is useful, we will walk through some foundational techniques that provide value quickly.

By the end of this chapter, you will be able to implement k-means clustering algorithms using built-in Python packages and ...

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Publisher Resources

ISBN: 9781800200708Supplemental Content