MemSQL Launches New Book on Predictive Analytics and Machine Learning
San Francisco, CA - September 7, 2016 - MemSQL, provider of the fastest database platform for real-time analytics, today announced the release of an O’Reilly Media, Inc. book titled, The Path to Predictive Analytics and Machine Learning. The publication dives deep into the theory behind machine learning as well as outlines critical steps for successfully deploying scalable, production-ready applications powered by predictive analytics.
MemSQL Launches New Book on Predictive Analytics and Machine Learning - Click to Tweet
The global predictive analytics market is expected to grow to over $9 billion by 2020 1. Machine learning is at the heart of predictive analytics. In the new book, readers will learn how applied machine learning enables data-driven enterprises to predict user or device behavior. With predictive analytics in hand, businesses can implement strategies to capture market share in an environment fueled by competition.
The book covers everything from real-time architecture to machine learning use cases. Chapters include:
- Dawn of the Real-Time Dashboard
- Real-Time Machine Learning Applications
- Predictive Analytics in Use
- From Machine Learning to Artificial Intelligence
The Path to Predictive Analytics and Machine Learning builds upon the foundation of the company’s first O’Reilly book, Building Real-Time Data Pipelines: Unifying Applications and Analytics with In-Memory Architectures, released last Fall.
Download the complimentary eBook: memsql.com/oreillyml
Read more about it on our blog: blog.memsql.com/predictive-analytics
MemSQL delivers the leading database platform for real-time analytics. Global enterprises use MemSQL to achieve peak performance and optimize data efficiency. With the combined power of database, data warehouse, and streaming workloads in one system, MemSQL helps companies anticipate problems before they occur, turn insights into actions, and stay relevant in a rapidly changing world. Visit memsql.com or follow us @memsql.