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Machine Learning with R - Second Edition
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 real-world scenarios

Book Description

Machine learning, at its core, is concerned...

Mathematics for 3D Game Programming and Computer Graphics, Second Edition (Game Development Series)
Mathematics for 3D Game Programming and Computer Graphics, Second Edition (Game Development Series)
This completely updated second edition illustrates the mathematical concepts that a game programmer would need to develop a professional-quality 3D engine. Although the book is geared toward applications in game development, many of the topics appeal to general interests in 3D graphics. It starts at a fairly basic level in areas such as vector...
Guide to Neural Computing Applications (Hodder Arnold Publication)
Guide to Neural Computing Applications (Hodder Arnold Publication)
An excellent tutorial and practical users guide - far more accessible than the competition.,Professor Alan F. Murray, University of Edinburgh, UK. ... deserves a place on the neural network practitioners bookshelf ...,Proceedings of the Institution of Electrical Engineers,

Neural networks have shown enormous potential for
...
Statistics and Data Analysis for Financial Engineering (Springer Texts in Statistics)
Statistics and Data Analysis for Financial Engineering (Springer Texts in Statistics)

Financial engineers have access to enormous quantities of data but need powerful methods for extracting quantitative information, particularly about volatility and risks. Key features of this textbook are: illustration of concepts with financial markets and economic data, R Labs with real-data exercises, and integration of graphical and...

Knapsack Problems: Algorithms and Computer Implementations (Wiley Series in Discrete Mathematics and Optimization)
Knapsack Problems: Algorithms and Computer Implementations (Wiley Series in Discrete Mathematics and Optimization)
Here is a state of art examination on exact and approximate algorithms for a number of important NP-hard problems in the field of integer linear programming, which the authors refer to as ``knapsack.'' Includes not only the classical knapsack problems such as binary, bounded, unbounded or binary multiple, but also less familiar problems...
Robust Signal Processing for Wireless Communications (Foundations in Signal Processing, Communications and Networking)
Robust Signal Processing for Wireless Communications (Foundations in Signal Processing, Communications and Networking)
Optimization of adaptive signal processing algorithms for wireless communications is based on a model of the underlying propagation channel. In practice, this model is never known perfectly. For example, its parameters have to be estimated and are only known with significant errors.

In this book, a systematic treatment of this practical design...

Effective Computational Methods for Wave Propagation (Numerical Insights)
Effective Computational Methods for Wave Propagation (Numerical Insights)
Due to the increase in computational power and new discoveries in propagation phenomena for linear and nonlinear waves, the area of computational wave propagation has become more significant in recent years. Exploring the latest developments in the field, Effective Computational Methods for Wave Propagation presents several modern,...
Analysis of Numerical Methods
Analysis of Numerical Methods
Excellent advanced-undergraduate and graduate text covers norms, numerical solution of linear systems and matrix factoring, iterative solutions of nonlinear equations, eigenvalues and eigenvectors, polynomial approximation and more. Careful analysis and stress on techniques for developing new methods. Features examples and problems. 1966 edition....
The Optimal Implementation of Functional Programming Languages (Cambridge Tracts in Theoretical Computer Science)
The Optimal Implementation of Functional Programming Languages (Cambridge Tracts in Theoretical Computer Science)
All traditional implementation techniques for functional languages fail to avoid useless repetition of work. They are not "optimal" in their implementation of sharing, often causing a catastrophic, exponential explosion in reduction time. Optimal reduction is an innovative graph reduction technique for functional expressions, introduced...
Optical Character Recognition (Wiley Series in Microwave and Optical Engineering)
Optical Character Recognition (Wiley Series in Microwave and Optical Engineering)

As optical character recognition (OCR) begins to find applications ranging from store checkout scanners to money-changing machines and postal system automation, it has become one of the most dynamic areas in information science today. Yet few volumes explore this data-oriented process without relying heavily on mathematical background...

New Software Engineering Paradigm Based on Complexity Science: An Introduction to NSE
New Software Engineering Paradigm Based on Complexity Science: An Introduction to NSE

This book describes a complete revolution in software engineering based on complexity science through the establishment of NSE – Nonlinear Software Engineering paradigm which complies with the essential principles of complexity science, including the Nonlinearity principle, the Holism principle, the Complexity Arises From Simple Rules...

Adaptive Business Intelligence
Adaptive Business Intelligence
From the reviews of the first edition: 

"In this book the authors explain the science and application of numerous prediction and optimization techniques as well as how these concepts can be used to develop adaptive decision-making systems. The book is suitable for business and IT managers who make decisions in complex industrial and...

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