Probabilistic Graphical Models: Principles And Techniques Hardcover

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size

23.42 x 20.78 x 5.21 cm

Product Information

Brand Name

Books Kingdom

Ideal For

General Readers, Fiction Lovers, Mythology & Historical Fiction Readers, Indian Mythology Enthusiasts, Young Adults (YA) & Adults, College Students, Competitive Exam Aspirants (General Reading / Culture), Gift Purpose (Books Gift Set), Spiritual & Philosophy Interest Readers, Library / Book Collection Buyers

Material

Hardcover

Country Of Origin

India

Pack Of

About Author

Daphne Koller Is Professor In The Department Of Computer Science At Stanford University.

Author Name

Daphne Koller

Genre

Science & Mathematics

No Of Pages

1270

Publisher

Cambridge University Press

Product Description

Premium Quality: Probabilistic Graphical Models discusses a variety of models, spanning Bayesian networks, undirected Markov networks, discrete and continuous models, and extensions to deal with dynamical systems and relational data.

Product Design: For each class of models, the text describes the three fundamental cornerstones: representation, inference, and learning, presenting both basic concepts and advanced techniques.

User Experience: The book considers the use of the proposed framework for causal reasoning and decision making under uncertainty.

Versatile Occasion: The main text in each chapter provides the detailed technical development of the key ideas, and most chapters also include boxes with additional material: skill boxes, which describe techniques; case study boxes, which discuss empirical cases related to the approach described in the text.

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