Discover expert techniques to combine machine learning with the analytic capabilities of Elastic Stack and uncover actionable insights from your data Key Features * Integrate machine learning with distributed search and analytics * Preprocess and analyze large volumes of search data effortlessly * Operationalize machine learning in a scalable, production-worthy way Book Description Elastic Stack, previously known as the ELK stack, helps users ingest, process, and analyze search data effectively. With the addition of machine learning, a key commercial feature, the Elastic Stack makes this process even more efficient. This updated edition provides a comprehensive overview of Elastic Stack's machine learning features for both time series data analysis as well as data frame analysis. This second edition of Machine Learning with the Elastic Stack starts by explaining machine learning concepts in an intuitive way. You'll then 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 discover how data frame analysis opens up a whole new set of use cases that machine learning can help you with. By the end of this Elastic Stack book, you'll be equipped with all the knowledge you need to incorporate machine learning in your distributed search and data analysis platform. What you will learn * Find out how to enable the ML commercial feature in the Elastic Stack * Understand how Elastic machine learning is used to detect different types of anomalies and make predictions * Apply effective anomaly detection to IT operations, security analytics, and other use cases * Utilize the results of Elastic ML in custom views, dashboards, and proactive alerting * Train and deploy supervised ML models for real-time inference * Discover various tips and tricks to get the most out of Elastic machine learning Who This Book Is For If you are a data professional looking to gain insights into Elasticsearch data without having to rely on a machine learning specialist or custom development, then this book is for you. You'll also find this book useful if you want to integrate machine learning with your observability, security, and analytics applications. Some experience with the Elastic Stack is needed to get the most out of this book.

Book Information
ISBN 9781801070034
Author Rich Collier
Format Paperback
Page Count 388
Imprint Packt Publishing Limited
Publisher Packt Publishing Limited
Weight(grams) 75g