



MATLAB Linear Algebra
MATLAB is a highlevel language and environment for numerical computation, visualization, and programming. Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and builtin math functions enable you to explore multiple approaches and reach a solution faster than with spreadsheets or...   Exploring Monte Carlo Methods
Exploring Monte Carlo Methods is a basic text that describes the numerical methods that have come to be known as "Monte Carlo." The book treats the subject generically through the first eight chapters and, thus, should be of use to anyone who wants to learn to use Monte Carlo. The next two chapters focus on applications in nuclear...   Complex Variables and the Laplace Transform for Engineers
Widely acclaimed text on essential engineering mathematics. Theory of complex variables, CauchyRiemann equations, conformal mapping, multivalued functions, etc. Also Fourier and Laplace Transform theory, its applications to engineering, including integrals, linear integrodifferential equations, Z Transform, much more. Many excellent... 


  Test Equating, Scaling, and Linking: Methods and Practices
This book provides an introduction to test equating, scaling and linking, including those concepts and practical issues that are critical for developers and all other testing professionals. In addition to statistical procedures, successful equating, scaling and linking involves many aspects of testing, including procedures to develop tests,...   Machine Learning with R  Second Edition
Key Features

Harness the power of R for statistical computing and data science

Explore, forecast, and classify data with R

Use R to apply common machine learning algorithms to realworld scenarios
Book Description
Machine learning, at its core, is concerned... 



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