Predictive Analytics for the Modern Enterprise: A Practitioner’s Guide to Designing and Implementing Solutions
Author: Nooruddin Abbas Ali (Author)
Publisher finelybook 出版社: O’Reilly Media
Edition 版本: 1st
Publication Date 出版日期: 2024-06-25
Language 语言: English
Print Length 页数: 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
- Learn the development frameworks used in predictive analytics applications
- Appreciate the role of predictive analytics in the machine learning process
- Examine industry implementations of predictive analytics
- Build, train, and retrain predictive models using Python and TensorFlow
About the Author
He has been working with distributed data systems and cloud technologies for over a decade. Nooruddin has experience and credentials in multiple cloud technologies, architecture best practices, Aritificial Intelligence (AI) and Application Data platforms. This unique combination of data and cloud skills, coupled with his experience at various levels of the enterprise spectrum, has allowed him to amass the knowledge and field experience required to build this book that is multi-faceted yet in-depth on core foundations of predictive analytics.
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