Patel, Ankur A.
Hands-On Unsupervised Learning Using Python: How to Build Applied Machine Learning Solutions from Unlabeled Data
- ISBN 13:
- 9781492035640
- author:
- Patel, Ankur A.
- format:
- Paperback / softback
- publisher:
- O'Reilly Media, Inc, USA
- language:
- English
- Publication Year:
- 2019
- Pages:
- 400
- Dimensions:
- 25 x 15 x 1.5 centimetres (0.67
- Genre:
- Computers, Computer Science, Computers,
- Condition:
- New
- Availability:
- Item usually sent within 10 working days
Description
Hands-on Unsupervised Learning Using Python: Building Applied Machine Learning Solutions from Unlabeled Data by Ankur A. Patel. Discover meaningful patterns in unlabeled data and gain deeper business insight with this practical guide to unsupervised learning using Python. Industry experts consider unsupervised learning a key area of artificial intelligence, where conventional supervised methods cannot be applied. By applying unsupervised learning techniques using Scikit-learn and TensorFlow's Keras framework, you'll learn how to identify difficult-to-find patterns in data, detect anomalies, perform automatic feature engineering and selection, and generate synthetic datasets. With code and hands-on examples, this book provides a comprehensive introduction to machine learning approaches, including supervised, unsupervised, and reinforcement learning. You'll learn how to set up and manage machine learning projects end-to-end, build an anomaly detection system to catch credit card fraud, and develop movie recommender systems using restricted Boltzmann machines. This book is ideal for data scientists with programming experience looking to expand their skills in unsupervised learning.
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