Hands-On Unsupervised Learning Using Python

Hands-On Unsupervised Learning Using Python

How to Build Applied Machine Learning Solutions From Unlabeled Data

Book - 2019
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Many industry experts consider unsupervised learning the next frontier in artificial intelligence, one that may hold the key to the holy grail in AI research, the so-called general artificial intelligence. Since the majority of the world's data is unlabeled, conventional supervised learning cannot be applied; this is where unsupervised learning comes in. Unsupervised learning can be applied to unlabeled datasets to discover meaningful patterns buried deep in the data, patterns that may be near impossible for humans to uncover. Author Ankur Patel provides practical knowledge on how to apply unsupervised learning using two simple, production-ready Python frameworks - scikit-learn and TensorFlow using Keras. With the hands-on examples and code provided, you will identify difficult-to-find patterns in data and gain deeper business insight, detect anomalies, perform automatic feature engineering and selection, and generate synthetic datasets. All you need is programming and some machine learning experience to get started
Publisher: Sebastopol, CA O'Reilly Media, 2019
Copyright Date: © 2019
ISBN: 9781492035640
1492035645
Branch Call Number: 006.31 P29
Characteristics: xix, 337 pages : illustrations ; 24 cm

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