SAN JOSE, Calif., Sept. 25, 2017 (GLOBE NEWSWIRE) -- MapR Technologies, Inc., provider of the Converged Data Platform that integrates analytics with operational applications in real time, announced today the release of a new book, Machine Learning Logistics: Model Management in the Real World.
Written by Ted Dunning, PhD, board member of the Apache Software Foundation and chief application architect at MapR, and co-author Ellen Friedman, PhD, principal technologist at MapR and Apache committer, and published by O’Reilly Media, the book Machine Learning Logistics: Model Management in the Real World, examines what you need for effective data and model management in real-world settings, including globally distributed cloud or on-premises systems.
Authors Dunning and Friedman introduce the rendezvous architecture, an innovative design to help you handle machine learning logistics. This approach not only paves the way to successful long-term management, it also frees up your time and effort to focus on the machine learning process itself and on how to take action on results.
The book provides a non-technical view of what makes the approach work, as well as in-depth technical details. It is ideal for data scientists, architects, developers, ops teams and project managers, whether your team is planning to build a machine learning system or currently has one underway.
Readers will learn:
- The issues in machine learning logistics you need to consider when designing and implementing your system
- How the new architecture described in this book leverages streaming data transport and containers to make logistics easier and more accurate, including the hot hand-off of new models and the collection of diagnostic data
- Practical tips for comparing live models, including the role of decoys, canaries and the t-digest
- Best practices for maintaining model performance after deployment
At Strata Data Conference in New York City, MapR will host complimentary book signings with both authors at its booth (#415) on Wednesday, September 27 from 3:35-4:15pm and Thursday, September 28 from 10:45-11:20am.
To download a copy of Machine Learning Logistics: Model Management in the Real World, please visit here.
To listen to a recorded webinar which covers an introductory discussion of the book along with an option to sign up for deep dive machine learning workshops, please visit here.
Tweet this: NEW @OReillyMedia book on real-world #MachineLearning by @MapR's @ted_dunning & @ellen_friedman out now! Read more > http://bit.ly/2yuxPja
About MapR Technologies
Headquartered in San Jose, Calif., MapR provides the industry’s only Converged Data Platform that enables customers to harness the power of big data by combining analytics in real-time to operational applications to improve business outcomes. With MapR, enterprises have a data management platform for undertaking digital transformation initiatives to achieve competitive edge. Amazon, Cisco, Google, Microsoft, SAP, and other leading businesses are part of the global MapR partner ecosystem. For more information, visit www.mapr.com.
Media Contacts:
Beth Winkowski
MapR Technologies, Inc.
(978) 649-7189
bwinkowski@mapr.com
Kim Pegnato
MapR Technologies, Inc.
(781) 620-0016
kpegnato@mapr.com