Description: Hands-On Unsupervised Learning Using Python : How to Build Applied Machine Learning Solutions from Unlabeled Data, Paperback by Patel, Ankur A., ISBN 1492035645, ISBN-13 9781492035640, Like New Used, Free shipping in the US 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 impossiblefor 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, youwill 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 toget started.
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Book Title: Hands-On Unsupervised Learning Using Python : How to Build Applie
Number of Pages: 359 Pages
Publication Name: Hands-On Unsupervised Learning Using Python : How to Build Applied Machine Learning Solutions from Unlabeled Data
Language: English
Publisher: O'reilly Media, Incorporated
Item Height: 0.9 in
Publication Year: 2019
Subject: Intelligence (Ai) & Semantics, Data Processing, Programming Languages / Python, Computer Vision & Pattern Recognition
Item Weight: 22.6 Oz
Type: Textbook
Item Length: 9.1 in
Subject Area: Computers
Author: Ankur Patel
Item Width: 7 in
Format: Trade Paperback
