Jones Aaron et al. The Unsupervised Learning Workshop: Get started with unsupervised learning and simplify unorganized data to make predictions

2nd Edition. — Aaron Jones, Christopher Kruger, Benjamin Johnston. — Packt Publishing Limited, July 2020. — 549 p. — ISBN: 978-1-80020-070-8.With the help of interesting examples and activities, learn how to apply unsupervised algorithms on unlabelled datasetsDo you find it difficult to learn how big companies like WhatsApp and Amazon find valuable insight from volumes of unorganised data? Don’t worry, this workshop will give you enough confidence to deal with cluttered and unlabelled datasets using unsupervised algorithms.The workshop starts by introducing one of the most popular algorithms of unsupervised learning, Clustering. You’ll learn about different techniques of clustering algorithms and study the key differences between them. Next, you’ll find out how Autoencoders comes handy in data decoding. Moving ahead, you’ll use t-SNE models to extract high-dimensional information into a lower dimension for better visualization and work with topic modeling for implementing natural language processing. In the final chapters, you’ll find key relationships between customers and the business using Market Basket Analysis and use Hotspot Analysis for estimating the population density of an area.By the end of this workshop, you’ll be able to apply unsupervised algorithms on cluttered datasets to find useful patterns and insights.What you will learn
Distinguish between hierarchical clustering and k-means algorithm
Find out the process of finding clusters in the data
Grasp interesting techniques to reduce the size of the data
Use Autoencoders to decode the data
Extract text from a large collection of documents using Topic Modeling
Apply Market Based Analysis to extract insights from transactional data