Wow! eBook
Predictive Analytics for the Modern Enterprise: A Practitioner's Guide to Designing and Implementing Solutions
Author(s): Nooruddin Abbas Ali (Author)
- Publisher: O'Reilly Media
- Publication Date: June 25, 2024
- Edition: 1st
- 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
- 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
Editorial Reviews
Review
– Christopher Gardner, Business Intelligence Analyst, University of Michigan
Nooruddin Abbas Ali provides a great blend of technical and practical information, giving many real-life examples along the way that are easy to follow. It’s a great read if you are interested in making a difference with your company’s data.
– John Oliver, Data Scientist
Nooruddin masterfully navigates the intricacies of predictive analytics, captivating readers with each paragraph. His clear explanations demystify various aspects of predictive analytics, making it more accessible to a wider audience.
– Muzammil Shamim, Systems Engineer
About the Author
Nooruddin’s career is a testament to his deep understanding of both the technical and operational sides of AI. He has worked with cutting-edge technologies like Python, TensorFlow, and Keras, leading teams to build predictive models that solve complex business problems. His work spans diverse sectors including healthcare, where predictive analytics has revolutionized risk assessment and personalized treatments.
Author of the new book, Predictive Anlaytics for the Modern Enterprise, Nooruddin is passionate about bridging the gap between theory and real-world applications. His book delves into the nuts and bolts of predictive analytics, from algorithms and data handling to ethical considerations, making it an essential read for data scientists, technical managers, and anyone looking to leverage AI in their organization.
Whether he’s consulting for Fortune 500 companies or mentoring emerging data scientists, Nooruddin’s approach is always practical, insightful, and grounded in a deep commitment to innovation.
