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books
| book details |
Probabilistic Modelling for Advanced Data Analysis
By (author) Amit Kumar Tyagi, By (author) Soumya Mazumdar
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| on special |
normal price: R 5 852.95
Price: R 5 560.95
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| book description |
Probabilistic Modelling for Advanced Data Analysis provides a practical and rigorous guide for data practitioners to effectively implement probabilistic models in real-world scenarios. The book strikes a balance between high-level intuition and technical derivations, offering step-by-step explanations, real-world case studies, and Python implementation examples. The authors offer specific solutions that include modeling and quantifying uncertainty in data-driven decision-making, applying Bayesian inference to real-world problems and implementing scalable probabilistic models for large-scale datasets, all of which contribute to explainable and trustworthy AI. This book presents readers with theoretical foundations and practical applications of probabilistic modeling, providing a structured approach for researchers, data scientists, and industry professionals. It meets the increasing demand for uncertainty-aware AI models, Bayesian inference, and probabilistic graphical models across various fields of research.
| product details |
Normally shipped |
Publisher | Elsevier Science & Technology
Published date | 1 Jan 2027
Language |
Format | Paperback / softback
Pages | 400
Dimensions | 235 x 191 x 0mm (L x W x H)
Weight | 450g
ISBN | 978-0-4434-5210-9
Readership Age |
BISAC | computers / data processing / general
| other options |
Normally shipped |
Readership Age |
Normal Price | R 6 778.95
Price | R 6 440.95
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