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Predictive Analytics for the Modern Enterprise

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Predictive Analytics for the Modern Enterprise Synopsis

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 This Edition

ISBN: 9781098136864
Publication date: 31st May 2024
Author: Nooruddin Abbas Ali
Publisher: O'Reilly an imprint of O'Reilly Media
Format: Paperback
Pagination: 358 pages
Genres: Enterprise software
Programming and scripting languages: general
Data capture and analysis
Data mining
Machine learning
Information visualization