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Practical Machine Learning - A New Look at Anomaly Detection

Anomaly detection is the detective work of machine learning: finding the unusual, catching the fraud, discovering strange activity in large;

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Network Anomaly Detection

security, credit card and insurance fraud detection, and military surveillance for enemy activities. Network Anomaly Detection: A Machine Learning;

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Beginning Anomaly Detection Using Python-Based Deep Learning

Utilize this easy-to-follow beginner's guide to understand how deep learning can be applied to the task of anomaly detection. Using Keras;

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Time Series Databases - New Ways to Store and Acces Data

: A New Look at Anomaly Detection, also from Ted Dunning and Ellen Friedman.;

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Machine Learning Methods for Behaviour Analysis and Anomaly Detection in Video

This thesis proposes machine learning methods for understanding scenes via behaviour analysis and online anomaly detection in video. The;

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Machine Learning with the Elastic Stack

features Understand how Elastic machine learning is used to detect a variety of anomaly types Apply effective anomaly detection to IT operations;

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Anomaly Detection and Complex Event Processing Over IoT Data Streams

advanced processing techniques for IoT data streams and the anomaly detection algorithms over them. The book brings new advances and generalized;

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Practical Data Science with Hadoop and Spark

, including machine learning, predictive modeling for sentiment analysis, clustering for document analysis, anomaly detection, and natural language;

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Kernel Methods for Remote Sensing Data Analysis

, disaster prevention and damage assessment, and anomaly and target detection. Presenting the theoretical foundations of kernel methods (KMs;

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Conformal Prediction for Reliable Machine Learning

The conformal predictions framework is a recent development in machine learning that can associate a reliable measure of confidence with a;

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Pattern Recognition

; action and video and motion; object detection and anomaly detection; segmentation, grouping and shape; face and body and biometrics; adversarial;

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Pattern Recognition

; action and video and motion; object detection and anomaly detection; segmentation, grouping and shape; face and body and biometrics; adversarial;

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Mastering Java Machine Learning

tools in a wide range of techniques, with code and practical usage. * More than 10 real-world case studies in machine learning highlighting;

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Anomaly Detection

of data is called anomaly detection. With progress in the technologies and the widespread use of data for the purpose for business the increase;

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Traffic Anomaly Detection

"typical day analysis". A new information-theory based technique for traffic anomaly detection (typical day analysis)

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Anomaly-Detection and Health-Analysis Techniques for Core Router Systems

of features of a complex core router system. They also describe the design of a changepoint-based anomaly detector such that anomaly detection can be;

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Anomaly-Detection and Health-Analysis Techniques for Core Router Systems

of features of a complex core router system. They also describe the design of a changepoint-based anomaly detector such that anomaly detection can be;

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Data Science on AWS

repeatable machine learning operations pipeline Explore real-time ML, anomaly detection, and streaming analytics on data streams with Amazon Kinesis;

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Machine Learning With Go

networks and deep learning * Utilize times series models and anomaly detection. * Get to grip with techniques for deploying and distributing;

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The Application of Artificial Intelligence

This book presents a unique, understandable view of machine learning using many practical examples and access to free professional software;

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The Application of Artificial Intelligence

This book presents a unique, understandable view of machine learning using many practical examples and access to free professional software;

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Multiple-Aspect Analysis of Semantic Trajectories

data representation models, data management systems, machine learning approaches for anomaly detection, and common pathways identification.;

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Anomaly Detection as a Service

Anomaly detection has been a long-standing security approach with versatile applications, ranging from securing server programs in critical;

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Anomaly Detection as a Service

Anomaly detection has been a long-standing security approach with versatile applications, ranging from securing server programs in critical;

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Finding Ghosts in Your Data

Discover key information buried in the noise of data by learning a variety of anomaly detection techniques and using the Python programming;

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Machine Learning and Cognitive Science Applications in Cyber Security

threats and analyze data to capture malware. Highlighting such topics as anomaly detection, intelligent platforms, and triangle scheme, this;

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Beginning Anomaly Detection Using Python-Based Deep Learning

Beg-Int user level;...

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