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Introducing Bootstrap 4
Introducing Bootstrap 4

Learn how to use the front end CSS framework Bootstrap 4 to create powerful web applications. You'll work with all the components of Bootstrap 4 using easy-to-follow instructions and example code snippets. You'll also use Bootstrap 4 for typography, forms, and modules, and see how to structure your page and your code to be optimally...

Essentials of Economics - Standalone book (Irwin Economics)
Essentials of Economics - Standalone book (Irwin Economics)

Written specifically for the one semester survey of economics course, Schiller’s Essentials of Economics is known for seeking the best possible answers to the basic questions of WHAT, HOW, and FOR WHOM to produce. As in earlier editions, the tenth edition strives to arouse interest in economic theories by illustrating them in the...

A Matrix Handbook for Statisticians (Wiley Series in Probability and Statistics)
A Matrix Handbook for Statisticians (Wiley Series in Probability and Statistics)
A comprehensive, must-have handbook of matrix methods with a unique emphasis on statistical applications

This timely book, A Matrix Handbook for Statisticians, provides a comprehensive, encyclopedic treatment of matrices as they relate to both statistical concepts and methodologies. Written by an experienced authority on matrices and...

Cognitive Search: Evolution, Algorithms, and the Brain (Strüngmann Forum Reports)
Cognitive Search: Evolution, Algorithms, and the Brain (Strüngmann Forum Reports)

Over a century ago, William James proposed that people search through memory much as they rummage through a house looking for lost keys. We scour our environments for territory, food, mates, and information. We search for items in visual scenes, for historical facts, and for the best deals on Internet sites; we search for new friends to add...

Introduction to Machine Learning (Adaptive Computation and Machine Learning)
Introduction to Machine Learning (Adaptive Computation and Machine Learning)
The goal of machine learning is to program computers to use example data or past experience to solve a given problem. Many successful applications of machine learning exist already, including systems that analyze past sales data to predict customer behavior, recognize faces or spoken speech, optimize robot behavior so that a task can be completed...
Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms: Industrial Applications
Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms: Industrial Applications
Artificial neural networks can mimic the biological information-processing mechanism in - a very limited sense. Fuzzy logic provides a basis for representing uncertain and imprecise knowledge and forms a basis for human reasoning. Neural networks display genuine promise in solving problems, but a definitive theoretical basis does not yet exist for...
Computational Intelligence: An Introduction
Computational Intelligence: An Introduction

Computational Intelligence: An Introduction, Second Edition offers an in-depth exploration into the adaptive mechanisms that enable intelligent behaviour in complex and changing environments. The main focus of this text is centred on the computational modelling of biological and natural intelligent systems, encompassing swarm...

Bioinformatics: The Machine Learning Approach, Second Edition (Adaptive Computation and Machine Learning)
Bioinformatics: The Machine Learning Approach, Second Edition (Adaptive Computation and Machine Learning)

We have been very pleased, beyond our expectations, with the reception of the first edition of this book. Bioinformatics, however, continues to evolve very rapidly, hence the need for a new edition. In the past three years, fullgenome sequencing has blossomed with the completion of the sequence of the fly and the first draft of the...

Signals and Boundaries: Building Blocks for Complex Adaptive Systems
Signals and Boundaries: Building Blocks for Complex Adaptive Systems

Complex adaptive systems (cas), including ecosystems, governments, biological cells, and markets, are characterized by intricate hierarchical arrangements of boundaries and signals. In ecosystems, for example, niches act as semi-permeable boundaries, and smells and visual patterns serve as signals; governments have departmental hierarchies...

Swarm Intelligence (The Morgan Kaufmann Series in Evolutionary Computation)
Swarm Intelligence (The Morgan Kaufmann Series in Evolutionary Computation)

Traditional methods for creating intelligent computational systems have privileged private "internal" cognitive and computational processes. In contrast, Swarm Intelligence argues that human intelligence derives from the interactions of individuals in a social world and further, that this model of...

Principles of Data Mining (Adaptive Computation and Machine Learning)
Principles of Data Mining (Adaptive Computation and Machine Learning)
The growing interest in data mining is motivated by a common problem across disciplines: how does one store, access, model, and ultimately describe and understand very large data sets? Historically, different aspects of data mining have been addressed independently by different disciplines. This is the first truly...
Evolutionary Computation in Data Mining (Studies in Fuzziness and Soft Computing)
Evolutionary Computation in Data Mining (Studies in Fuzziness and Soft Computing)
This carefully edited book reflects and advances the state of the art in the area of Data Mining and Knowledge Discovery with Evolutionary Algorithms. It emphasizes the utility of different evolutionary computing tools to various facets of knowledge discovery from databases, ranging from theoretical analysis to real-life applications....
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