Vertel uw vrienden over dit artikel:
Probabilistic Modelling for Advanced Data Analysis Amit Kumar PhD. Tyagi
Onze klanten zeggen:
Probabilistic Modelling for Advanced Data Analysis
Amit Kumar PhD. Tyagi
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.
| Media | Boeken Paperback Book (Boek met zachte kaft en gelijmde rug) |
| Wordt vrijgegeven | 2027 |
| ISBN13 | 9780443452109 |
| Uitgevers | Elsevier Science & Technology |
| Pagina's | 400 |
| Afmetingen | 150 × 220 × 10 mm · 450 g |
