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The Unsupervised Learning Workshop

You're reading from The Unsupervised Learning Workshop Get started with unsupervised learning algorithms and simplify your unorganized data to help make future predictions

Product type Paperback

Published in Jul 2020

Publisher Packt

ISBN-13 9781800200708

Length 550 pages

Edition 1st Edition

Languages

Python

Tools

Jupyter

Concepts

Machine Learning

Authors (3):

Benjamin Johnston

Christopher Kruger

Aaron Jones

View More author details

Table of Contents (11) Chapters

Preface

1. Introduction to Clustering

2. Hierarchical Clustering FREE CHAPTER

3. Neighborhood Approaches and DBSCAN

4. Dimensionality Reduction Techniques and PCA

5. Autoencoders

6. t-Distributed Stochastic Neighbor Embedding

7. Topic Modeling

8. Market Basket Analysis

9. Hotspot Analysis

Appendix

8. Market Basket Analysis

Overview

In this chapter, we will explore market basket analysis, which is an algorithm originally designed to help retailers understand and improve their businesses. It is not, however, exclusive to retail, as we will discuss throughout the chapter. Market basket analysis unlocks the underlying relationships between the items that customers purchase. By the end of this chapter, you should have a solid grasp of transaction data, the basic metrics that define the relationship between two items, the Apriori algorithm, and association rules.

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Authors (3)

Aaron Jones

Aaron Jones

Aaron Jones is a full-time senior data scientist and consultant. He has built models and data products while working in retail, media, and environmental science. Aaron is based in Seattle, Washington and has a particular interest in clustering algorithms, natural language processing, and Bayesian statistics.

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Christopher Kruger

Christopher Kruger

Christopher Kruger is a practicing data scientist and AI researcher. He has managed applied machine learning projects across multiple industries while mentoring junior team members on best practices. His primary focus is on pushing both business practicality as well as academic rigor in every project. Chris is currently developing research in the computer vision space.

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Benjamin Johnston

Benjamin Johnston

Benjamin Johnston is a senior data scientist for one of the world's leading data-driven MedTech companies and is involved in the development of innovative digital solutions throughout the entire product development pathway, from problem definition to solution research and development, through to final deployment. He is currently completing his Ph.D. in machine learning, specializing in image processing and deep convolutional neural networks. He has more than 10 years of experience in medical device design and development, working in a variety of technical roles, and holds first-class honors bachelor's degrees in both engineering and medical science from the University of Sydney, Australia.

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