Probabilistic Graphical Models
Zurrian, Ignacio
| Autor: | Zurrian, Ignacio |
|---|---|
| Veröffentlichungsdatum: | 01.01.2025 |
| EAN: | 9781787153783 |
| Sprache: | Englisch |
| Seitenzahl: | 278 |
| Produktart: | Gebunden |
| Verlag: | Kruger Brentt Publisher UK. LTD. |
| Untertitel: | Principles and Techniques |
Produktinformationen "Probabilistic Graphical Models"
Foundations of Probabilistic Graphical Models: Provide a comprehensive introduction to probabilistic graphical models (PGMs), including their purpose, fundamental concepts, and types (e.g., Bayesian networks, Markov networks). Discuss the representation of complex probability distributions and dependencies using graphical structures. Graph Theory and Probability Foundations: Explore the underlying graph theory and probability principles essential for understanding PGMs. Cover topics such as nodes, edges, directed and undirected graphs, conditional independence, and joint probability distributions. Provide insights into how these principles are used to model real-world problems. Applications and Case Studies: Examine the applications of PGMs in various domains such as machine learning, computer vision, natural language processing, and bioinformatics. Provide case studies and examples to illustrate how PGMs are used to solve practical problems and make predictions based on complex data.
Sie möchten lieber vor Ort einkaufen?
Sie haben Fragen zu diesem oder anderen Produkten oder möchten einfach gerne analog im Laden stöbern? Wir sind gerne für Sie da und beraten Sie auch telefonisch.
Juristische Fachbuchhandlung
Georg Blendl
Parcellistraße 5 (Maxburg)
8033 München
Montag - Freitag: 8:15 -18 Uhr
Samstags geschlossen