Compare Prices | Create Shopping Lists with Price Drop Alerts | Set Coupons, Promo Codes & Sales Alerts | Get Access to Exclusive Deals and Much More... All in One Place | Read all about it here

Beginning Anomaly Detection Using Python-Based Deep Learning

Beginning Anomaly Detection Using Python-Based Deep Learning

Brand
Springer Nature
Manufacturer
N/A
Part Number
0
GTIN
9781484251775
Condition
New
Product Description

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 oftime 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.

Available Colors
Available Sizes
1 Offer Price Range: $39.99 - $39.99
BEST PRICE

Single Product Purchase

$39.99
@ Link.springer.com     BUY Now

Price Comparison

Seller Contact Seller List Price On Sale Shipping Best Promo Final Price Volume Discount Financing Availability Seller's Page
BEST PRICE
1 Product Purchase
@ Link.springer.com
Contact Store Call Store Contact Support
$39.99 $39.99

$39.99
See Site In stock Visit Store

Similar Products

The Politics of Chemical Risk: Scenarios for a Regulatory Future

$169.99

Intelligent Structural Systems

$219.99

Public Participation and Better Environmental Decisions

$84.99

The Coherence of Kant's Transcendental Idealism

$169.99

Resolving the Climate Change Crisis

$169.99

Managing Contemporary Security Challenges in Nigeria

$139.99

Electrotechnologies for Extraction from Food Plants and Biomaterials

$109.99

Computer Simulation Studies in Condensed-Matter Physics XV

$169.99

Hhere Mathematik griffbereit

$84.99

Success Strategies and Knowledge Transfer in Cross-Border Consulting Operations

$84.99

Aktuelle Kernfragen in der Psychiatrie

$54.99

Europa, deine Frauen

$59.99

Luminescence of Inorganic Solids

$84.99

Microbial Metatranscriptomics Belowground

$169.00

Bildungseinrichtungen als "lernende Organisationen"?

$64.99

Numerical Flow Simulation I

$169.99

Geometry and Dynamics of Integrable Systems

$24.99

Southeast Asia and the ASEAN Economic Community

$169.99

Bayesian Filter Design for Computational Medicine

$59.99

Reviews of Physiology, Biochemistry and Pharmacology

$84.99

Chinas Solution for Precise Poverty Alleviation

$119.99

Proxemic Interactions

$49.99

Rookie Biographies: Mae Jemison

$3.71

Comprehensive Seismic Zonation Schemes for Regions at Different Scales

$109.99

Hexen, Satan, Inquisition

$79.99

Beginning Microsoft 365 Collaboration Apps

$79.99

Metasomatism and the Chemical Transformation of Rock

$249.99

Personalmanagement

$49.99

The Culture of Collected Editions

$109.99

Conversational Dialogue Systems for the Next Decade

$199.99

Performance Activism

$109.99

New Synthetic Methods

$129.00

Der Hymnus Veni Creator Spiritus

$59.99

Ali Shariati and the Shaping of Political Islam in Iran

$54.99

The Symbolism and Communicative Contents of Dreadlocks in Yorubaland

$54.99

Clifford Numbers and Spinors

$169.99

The Tangwang Language

$54.99

Corporate-Venture-Capital-Einheiten als Wissensbroker

$74.99

Smart Transportation Systems 2022

$249.99

Protocols for High-Speed Networks VI

$169.00