Beginning anomaly detection using Python-based deep learning : with Keras and PyTorch /: with Keras and PyTorch. ([2019])
- Record Type:
- Book
- Title:
- Beginning anomaly detection using Python-based deep learning : with Keras and PyTorch /: with Keras and PyTorch. ([2019])
- Main Title:
- Beginning anomaly detection using Python-based deep learning : with Keras and PyTorch
- Further Information:
- Note: Sridhar Alla, Suman Kalyan Adari.
- Authors:
- Alla, Sridhar
Adari, Suman Kalyan - Contents:
- Intro; Table of Contents; About the Authors; About the Technical Reviewers; Acknowledgments; Introduction; Chapter 1: What Is Anomaly Detection?; What Is an Anomaly?; Anomalous Swans; Anomalies as Data Points; Anomalies in a Time Series; Taxi Cabs; Categories of Anomalies; Data Point-Based Anomalies; Context-Based Anomalies; Pattern-Based Anomalies; Anomaly Detection; Outlier Detection; Noise Removal; Novelty Detection; The Three Styles of Anomaly Detection; Where Is Anomaly Detection Used?; Data Breaches; Identity Theft; Manufacturing; Networking; Medicine; Video Surveillance; Summary Chapter 2: Traditional Methods of Anomaly DetectionData Science Review; Isolation Forest; Mutant Fish; Anomaly Detection with Isolation Forest; One-Class Support Vector Machine; Anomaly Detection with OC-SVM; Summary; Chapter 3: Introduction to Deep Learning; What Is Deep Learning?; Artificial Neural Networks; Intro to Keras: A Simple Classifier Model; Intro to PyTorch: A Simple Classifier Model; Summary; Chapter 4: Autoencoders; What Are Autoencoders?; Simple Autoencoders; Sparse Autoencoders; Deep Autoencoders; Convolutional Autoencoders; Denoising Autoencoders; Variational Autoencoders Chapter 7: Temporal Convolutional NetworksWhat Is a Temporal Convolutional Network?; Dilated Temporal Convolutional Network; Anomaly Detection with the Dilated TCN; Encoder-Decoder Temporal Convolutional Network; Anomaly Detection with the ED-TCN; Summary; Chapter 8: Practical Use Cases of Anomaly Detection;Intro; Table of Contents; About the Authors; About the Technical Reviewers; Acknowledgments; Introduction; Chapter 1: What Is Anomaly Detection?; What Is an Anomaly?; Anomalous Swans; Anomalies as Data Points; Anomalies in a Time Series; Taxi Cabs; Categories of Anomalies; Data Point-Based Anomalies; Context-Based Anomalies; Pattern-Based Anomalies; Anomaly Detection; Outlier Detection; Noise Removal; Novelty Detection; The Three Styles of Anomaly Detection; Where Is Anomaly Detection Used?; Data Breaches; Identity Theft; Manufacturing; Networking; Medicine; Video Surveillance; Summary Chapter 2: Traditional Methods of Anomaly DetectionData Science Review; Isolation Forest; Mutant Fish; Anomaly Detection with Isolation Forest; One-Class Support Vector Machine; Anomaly Detection with OC-SVM; Summary; Chapter 3: Introduction to Deep Learning; What Is Deep Learning?; Artificial Neural Networks; Intro to Keras: A Simple Classifier Model; Intro to PyTorch: A Simple Classifier Model; Summary; Chapter 4: Autoencoders; What Are Autoencoders?; Simple Autoencoders; Sparse Autoencoders; Deep Autoencoders; Convolutional Autoencoders; Denoising Autoencoders; Variational Autoencoders Chapter 7: Temporal Convolutional NetworksWhat Is a Temporal Convolutional Network?; Dilated Temporal Convolutional Network; Anomaly Detection with the Dilated TCN; Encoder-Decoder Temporal Convolutional Network; Anomaly Detection with the ED-TCN; Summary; Chapter 8: Practical Use Cases of Anomaly Detection; Anomaly Detection; Real-World Use Cases of Anomaly Detection; Telecom; Banking; Environmental; Healthcare; Transportation; Social Media; Finance and Insurance; Cybersecurity; Video Surveillance; Manufacturing; Smart Home; Retail; Implementation of Deep Learning-Based Anomaly Detection … (more)
- Publisher Details:
- New York : Apress
- Publication Date:
- 2019
- Copyright Date:
- 2019
- Extent:
- 1 online resource, illustrations
- Subjects:
- 005.8
Anomaly detection (Computer security)
Python (Computer program language)
Electronic books
Electronic books - Languages:
- English
- ISBNs:
- 9781484251775
1484251776 - Related ISBNs:
- 9781484251768
- Notes:
- Note: Online resource; title from PDF title page (SpringerLink, viewed October 15, 2019).
- Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.465271
- Ingest File:
- 02_609.xml