by Mike Frampton
Apache Spark is an in-memory cluster based parallel processing system that provides a wide range of functionality like graph processing, machine learning, stream processing and SQL. It operates at unprecedented speeds, is easy to use and offers a rich set of data transformations.This book aims to take your limited knowledge of Spark to the next level by teaching you how to expand Spark functionality. The bo...
Price: $43.99 | Publisher: Packt Publishing | Release: 2015
by Matthew Kirk
Learn how to apply test-driven development (TDD) to machine-learning algorithms - and catch mistakes that could sink your analysis. In this practical guide, author Matthew Kirk takes you through the principles of TDD and machine learning, and shows you how to apply TDD to several machine-learning algorithms, including Naive Bayesian classifiers and Neural Networks.Machine-learning algorithms often have test...
Price: $21.79 | Publisher: O'Reilly Media | Release: 2014
by Patrick R. Nicolas
The discovery of information through data clustering and classification is becoming a key differentiator for competitive organizations. Machine learning applications are everywhere, from self-driving cars, engineering designs, biometrics, and trading strategies, to detection of genetic anomalies.The book begins with an introduction to the functional capabilities of the Scala programming language that are cr...
Price: $59.99 | Publisher: Packt Publishing | Release: 2014
Mastering SQL Server 2014 Data Mining
by Amarpreet Singh Bassan, Debarchan Sarkar
Whether you are new to data mining or are a seasoned expert, this book will provide you with the skills you need to successfully create, customize, and work with Microsoft Data Mining Suite. Starting with the basics, this book will cover how to clean the data, design the problem, and choose a data mining model that will give you the most accurate prediction.Next, you will be taken through the various classi...
Price: $49.99 | Publisher: Packt Publishing | Release: 2014
by Ivan Zelinka, Guanrong Chen, Otto E. Rossler, Vaclav Snasel, Ajith Abraham
Prediction of behavior of the dynamical systems, analysis and modeling of its structure is vitally important problem in engineering, economy and science today. Examples of such systems can be seen in the world around us and of course in almost every scientific discipline including such "exotic" domains like the earth's atmosphere, turbulent fluids, economies (exchange rate and stock markets),...
Publisher: Springer | Release: 2013
Soft Computing for Recognition based on Biometrics
by Patricia Melin, Janusz Kacprzyk, Witold Pedrycz
We describe in this book, bio-inspired models and applications of hybrid intelligent systems using soft computing techniques for image analysis and pattern recognition based on biometrics and other information sources. Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks, and bio-inspired optimization algo-rithms, which can be used to produce powerf...
Price: $189.99 | Publisher: Springer | Release: 2010
Complex Valued Nonlinear Adaptive Filters
by Danilo Mandic, Vanessa Goh
This book was written in response to the growing demand for a text that provides a unified treatment of linear and nonlinear complex valued adaptive filters, and methods for the processing of general complex signals (circular and noncircular). It brings together adaptive filtering algorithms for feedforward (transversal) and feedback architectures and the recent developments in the statistics of complex var...
Price: $113.09 | Publisher: Wiley | Release: 2009
Handbook of Nature-Inspired and Innovative Computing
by Albert Y. Zomaya
As computing devices proliferate, demand increases for an understanding of emerging computing paradigms and models based on natural phenomena. Neural networks, evolution-based models, quantum computing, and DNA-based computing and simulations are all a necessary part of modern computing analysis and systems development. Vast literature exists on these new paradigms and their implications for a wide array of...
Price: $149.99 | Publisher: Springer | Release: 2006
Design of Logic-based Intelligent Systems
by Klaus Truemper
Design of Logic-based Intelligent Systems develops principles and methods for constructing intelligent systems for complex tasks that are readily done by humans but are difficult for machines. Current Artificial Intelligence (AI) approaches rely on various constructs and methods (production rules, neural nets, support vector machines, fuzzy logic, Bayesian networks, etc.). In contrast, this book uses an ext...
Price: $128.87 | Publisher: Wiley | Release: 2004