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Data-Driven Modeling
Hardback
€226.20
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- Book Synopsis
- Equip yourself with the essentials of informed decision-making with this practical guide to mastering data-driven modeling and extracting actionable, meaningful patterns from the vast sea of modern data. In an era defined by data, the ability to transform raw information into actionable insights is a skill set that transcends industries and disciplines. This book is a comprehensive guide designed to unravel the intricacies of extracting meaningful patterns from the vast sea of data that surrounds us. It explores the significance of data-driven modelling, comparing it to traditional approaches and setting the stage for understanding the transformative power and diverse applications of data-driven techniques. This comprehensive resource empowers readers to leverage data for informed decision-making. Whether you are a novice looking to grasp the fundamentals or an experienced professional seeking advanced techniques, this book serves as a practical guide through the dynamic landscape of data-driven modelling. Through clear explanations, hands-on examples, and real-world applications, readers will gain the skills needed to navigate the complexities of modern data analysis.
- About The Author
- Arindam Mondal, PhD is a Professor at Dr. B.C. Roy Engineering College with more than 20 years of experience. He has published more than 35 papers for scientific and technical journals and conferences. He has 18 patents to his credit and has won several awards for his scholarship. Souvik Ganguli, PhD is an Assistant Professor at the Thapar Institute of Engineering and Technology with more than 19 years of teaching experience. He has published more than 50 papers in leading journals, conferences, and book chapters. He has 15 granted patents to his credit and has won several awards for his scholarly activities.
- Product Details
-
- ISBN
- 9781394287895
- Format
- Hardback
- Publisher
- Wiley-Scrivener, (07 January 2026)
- Number of Pages
- 320
- Weight
- 680.4 grams
- Language
- English
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