Probabilistic Modelling for Advanced Data Analysis, (Paperback)

<i>Probabilistic Modelling for Advanced Data Analysis </i>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. <p>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.</p>

• Probabilistic Modelling for Advanced Data Analysis, (Paperback)
• Author: Amit Kumar Tyagi
• ISBN: 9780443452109
• Format: Paperback
• Publication Date: 2027-01-01
• Page Count: 400