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Pattern recognition and machine learning

Tác giả: Christopher M. Bishop

Chapter 1: Introduction. Chapter 2: Probability distributions. Chapter 3: Linear model for regression. Chapter 4: Linear models for classification. Chapter 5: Neural networks. Chapter 6. Kernel methods. Chapter 7: Sparse Kernel machines. Chapter 8: Graphical models. Chapter 9: Mixture models and ...

Machine learning : a probabilistic perspective

Tác giả: Kevin P Murphy

Including contesnts: Probability; Generative models for discrete data; Gaussian models; Bayesian statistics; Frequentist statistics; Linear regression; Logistic regression; Generalized linear models and the exponential family; Directed graphical models (Bayes nets); Mixture models and the EM ...

Modern database management : 8th ed.

Tác giả: Jeffrey A. Hoffer, Mary Prescott, Fred McFadden

Modern Database Management is the leading text in the business database market. It's noted for its focus on the latest principles, concepts and technologies and what leading practitioners say is most important for database developers.

Data structures and algorithms in Java : 6th ed.

Tác giả: Michael T. Goodrich, Roberto Tamassia, Michael H. Goldwasser

The design and analysis of efficient data structures has long been recognized as a key component of the Computer Science curriculum. Goodrich and Tomassia's approach to this classic topic is based on the object-oriented paradigm as the framework of choice for the design of data structures. For each ...

Database concepts : 5th ed.

Tác giả: David M. Kroenke, David J. Auer

Written by two of the world's leading database authorities, Database Concepts introduces the essential concepts readers need to create and use small databases.