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Pattern Recognition and Machine Learning

Introduction to Biometrics

An Introduction to Statistical Learning : with Applications in R

R for SAS and SPSS Users

Generalized Linear Models With Examples in R

Data Mining with Rattle and R : The Art of Excavating Data for Knowledge Discovery

Closing the Gap Between ASIC & Custom : Tools and Techniques for High-Performance ASIC Design

Grids and Service-Oriented Architectures for Service Level Agreements

Recommender Systems Handbook

Lessons from the Masters : Current Concepts in Astronomical Image Processing

SystemVerilog for Verification : A Guide to Learning the Testbench Language Features

A Course in Mathematical Statistics and Large Sample Theory

To Queue or Not to Queue : Equilibrium Behavior in Queueing Systems

CMOS Integrated Analog-to-Digital and Digital-to-Analog Converters

Data Mining for Social Network Data

Atomic Layer Deposition for Semiconductors

Bioinformatics : Databases and Systems

Multi-Modal User Interactions in Controlled Environments

Computational Biology and Machine Learning for Metabolic Engineering and Synthetic Biology

All of Statistics : A Concise Course in Statistical Inference

An Introduction to Statistical Learning : with Applications in R

Programming Challenges : The Programming Contest Training Manual

A Beginner's Guide to R

Applied Predictive Modeling

An Intermediate Course in Probability

The Elements of Statistical Learning : Data Mining, Inference, and Prediction, Second Edition

The Handbook of Data & Networks Security

Predictive Clustering

Practical Optimization : Algorithms and Engineering Applications

Modern Multivariate Statistical Techniques : Regression, Classification, and Manifold Learning

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