Hands-On Unsupervised Learning Using Python, 9781492035640
Paperback
Many industry experts consider unsupervised learning the next frontier in artificial intelligence, one that may hold the key to general artificial intelligence. Author Ankur Patel shows you how to apply unsupervised learning using two simple, production-ready Python frameworks: Scikit-learn and TensorFlow using Keras.

Hands-On Unsupervised Learning Using Python

how to build applied machine learning solutions from unlabeled data

$156.86

  • Paperback

    400 pages

  • Release Date

    31 March 2019

Check Delivery Options

Summary

Many industry experts consider unsupervised learning the next frontier in artificial intelligence, one that may hold the key to general artificial intelligence. Since the majority of the world’s data is unlabeled, conventional supervised learning cannot be applied. Unsupervised learning, on the other hand, 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 shows you how…

Book Details

ISBN-13:9781492035640
ISBN-10:1492035645
Author:Ankur A. Patel
Publisher:O'Reilly Media
Imprint:O'Reilly Media
Format:Paperback
Number of Pages:400
Release Date:31 March 2019
Weight:666g
Dimensions:250mm x 150mm x 15mm
About The Author

Ankur A. Patel

Ankur Patel is an applied machine learning researcher and data scientist with expertise in financial markets. His work focuses on unsupervised learning, natural language processing, time series prediction, and sequential data problems. Currently, Ankur finds hidden patterns in large-scale unlabeled data for clients around the world as a data scientist at ThetaRay, an Israeli artificial intelligence firm. Ankur started his career as the lead emerging markets trader at Bridgewater Associates and later founded and managed the machine learning-based hedge fund R-Squared Macro.

Returns

This item is eligible for free returns within 30 days of delivery. See our returns policy for further details.