Predictive Analytics for the Mode Enterprise: A Practitioner’s Guide to Designing and Implementing Solutions

by: Nooruddin Abbas Ali (Author)

Publisher: O’Reilly Media
Edition: 1st

Publication Date: June 25, 2024

Language: English

Print Length: 358 pages

ISBN-10: 1098136861

ISBN-13: 9781098136864

Book Description

The surging predictive analytics market is expected to grow from $10.5 billion today to $28 billion by 2026. With the rise in automation across industries, the increase in data-driven decision-making, and the proliferation of IoT devices, predictive analytics has become an operational necessity in today’s forward-thinking companies. If you’re a data professional, you need to be aligned with your company’s business activities more than ever before. This practical book provides the background, tools, and best practices necessary to help you design, implement, and operationalize predictive analytics on-premises or in the cloud. Explore ways that predictive analytics can provide direct input back to your business Understand mathematical tools commonly used in predictive analytics Lea the development frameworks used in predictive analytics applications Appreciate the role of predictive analytics in the machine leaing process Examine industry implementations of predictive analytics Build, train, and retrain predictive models using Python and TensorFlow
About the Author
The surging predictive analytics market is expected to grow from $10.5 billion today to $28 billion by 2026. With the rise in automation across industries, the increase in data-driven decision-making, and the proliferation of IoT devices, predictive analytics has become an operational necessity in today’s forward-thinking companies. If you’re a data professional, you need to be aligned with your company’s business activities more than ever before. This practical book provides the background, tools, and best practices necessary to help you design, implement, and operationalize predictive analytics on-premises or in the cloud. Explore ways that predictive analytics can provide direct input back to your business Understand mathematical tools commonly used in predictive analytics Lea the development frameworks used in predictive analytics applications Appreciate the role of predictive analytics in the machine leaing process Examine industry implementations of predictive analytics Build, train, and retrain predictive models using Python and TensorFlow Read more