Beginning Anomaly Detection Using Python-based Deep Learning: With Keras And Pytorch

October 11, 2019|
Beginning Anomaly Detection Using Python-based Deep Learning: With Keras And Pytorch by Sridhar Alla
$51.44 
$58.95 save 12%
Paperback
Earn 257 plum® points
Buy Online
Ship to an address
Free shipping on orders over $35
Pick up in store
To see if pickup is available,
Find In Store
Not sold in stores
Prices and offers may vary in store

about

Utilize this easy-to-follow beginner''s guide to understand how deep learning can be applied to the task of anomaly detection. Using Keras and PyTorch in Python, the book focuses on how various deep learning models can be applied to semi-supervised and unsupervised anomaly detection tasks.

This book begins with an explanation of what anomaly detection is, what it is used for, and its importance. After covering statistical and traditional machine learning methods for anomaly detection using Scikit-Learn in Python, the book then provides an introduction to deep learning with details on how to build and train a deep learning model in both Keras and PyTorch before shifting the focus to applications of the following deep learning models to anomaly detection: various types of Autoencoders, Restricted Boltzmann Machines, RNNs & LSTMs, and Temporal Convolutional Networks. The book explores unsupervised and semi-supervised anomaly detection along with the basics of time series-based anomaly detection.

By the end of the book you will have a thorough understanding of the basic task of anomaly detection as well as an assortment of methods to approach anomaly detection, ranging from traditional methods to deep learning. Additionally, you are introduced to Scikit-Learn and are able to create deep learning models in Keras and PyTorch.


What You Will Learn
  • Understand what anomaly detection is and why it is important in today''s world
  • Become familiar with statistical and traditional machine learning approaches to anomaly detection using Scikit-Learn
  • Know the basics of deep learning in Python using Keras and PyTorch
  • Be aware of basic data science concepts for measuring a model''s performance: understand what AUC is, what precision and recall mean, and more
  • Apply deep learning to semi-supervised and unsupervised anomaly detection

Who This Book Is For

Data scientists and machine learning engineers interested in learning the basics of deep learning applications in anomaly detection

Sridhar Alla  is the co-founder and CTO of Bluewhale, which helps organizations big and small in building AI-driven big data solutions and analytics. He is a published author of books and an avid presenter at numerous Strata, Hadoop World, Spark Summit, and other conferences. He also has several patents filed with the US PTO on la...
Loading
Title:Beginning Anomaly Detection Using Python-based Deep Learning: With Keras And Pytorch
Format:Paperback
Product dimensions:416 pages, 10 X 7.01 X 0 in
Shipping dimensions:416 pages, 10 X 7.01 X 0 in
Published:October 11, 2019
Publisher:APRESS PUBLISHERS
Language:English
Appropriate for ages:All ages
ISBN - 13:9781484251768

Recently Viewed
|