Machine Learning with the Elastic Stack...

Brief

Book

This book helps users ingest, process, and analyze search data effectively. With the flux of machine learning in its recent versions, Elastic Stack makes this process even more efficient. This book provides a comprehensive overview of Elastic Stack’s machine learning features for anomaly detection and forecasting.  Machine Learning with the Elastic Stack starts by guiding you in installing and setting up Elastic Stack. You’ll perform time series analysis on different types of data, such as log files, network flows, application metrics, and financial data. As you progress through the chapters, you’ll deploy machine learning within Elastic Stack for logging, security, and metrics. Finally, you’ll see how machine learning jobs can be automatically distributed and managed across the Elasticsearch cluster and made resilient to failure. By the end of this book, you’ll be equipped with all the knowledge you need to incorporate machine learning in your distributed search solutions.