Learn IT - Books tags algorithm

Hadoop: The Definitive Guide

O'Reilly, 2009

Hadoop: The Definitive Guide helps you harness the power of your data. Ideal for processing large datasets, the Apache Hadoop framework is an open source implementation of the MapReduce algorithm on which Google built its empire. This comprehensive resource demonstrates how to use Hadoop to build reliable, scalable, distributed systems: programmers...

Channel Coding Techniques for Wireless Communications

Springer, 2015

The book discusses modern channel coding techniques for wireless communications such as turbo codes, low parity check codes (LDPC), space-time coding, Reed Solomon (RS) codes and convolutional codes. Many illustrative examples are included in each chapter for easy understanding of the coding techniques. The text is integrated with...

The Tomes of Delphi: Algorithms and Data Structures

Wordware Publishing, 2001

Although there are numerous books on algorithms in the bookstores, few of
them go beyond the standard Computer Science 101 course to approach algorithms
from a practical perspective. The code that is shown in the book is to
illustrate the algorithm in question, and generally no consideration is given to
real-life,...

Software Solutions for Engineers and Scientists

CRC Press, 2007

Our book was conceived as a programming toolkit and a problem-solving resource for professional engineers and scientists who take on the role of programmers. The book’s original idea was based on the fact that engineers and scientists often need to develop software to suit their particular needs, but hardly ever are they...

Computer Arithmetic: Algorithms and Hardware Implementations

Springer, 2012

The subject of this book is the analysis and design of digital devices that implement computer arithmetic. The book's presentation of high-level detail, descriptions, formalisms and design principles means that it can support many research activities in this field, with an emphasis on bridging the gap between algorithm optimization and...

Automated Trading with R: Quantitative Research and Platform Development

Apress, 2016

Learn to trade algorithmically with your existing brokerage, from data management, to strategy optimization, to order execution, using free and publicly available data. Connect to your brokerage’s API, and the source code is plug-and-play.

Automated Trading with R explains automated trading, starting with its...

Algorithm Theory - SWAT 2002: 8th Scandinavian Workshop on Algorithm Theory, Turku, Finland, July 3-5, 2002 Proceedings (Lecture Notes in Computer Science)

Springer, 2002

This book constitutes the refereed proceedings of the 8th Scandinavian Workshop on Algorithm Theory, SWAT 2002, held in Turku, Finland, in July 2002.
The 43 revised full papers presented together with two invited contributions were carefully reviewed and selected from 103 submissions. The papers are organized in topical sections on...

Learning from Data: Concepts, Theory, and Methods

John Wiley & Sons, 2007

A learning method is an algorithm (usually implemented in software) that esti- mates an unknown mapping (dependency) between a system’s inputs and outputs from the available data, namely from known (input, output) samples. Once such a dependency has been accurately estimated, it can be used for prediction of future system...

Algorithms For Interviews

CreateSpace Independent Publishing Platform, 2010

Algorithms for Interviews (AFI) aims to help engineers interviewing for software development positions. The primary focus of AFI is algorithm design. The entire book is presented through problems interspersed with discussions. The problems cover key concepts and are well-motivated, challenging, and fun to solve.

We do not...

BackTrack 5 Cookbook

Packt Publishing, 2012

Over 80 recipes to execute many of the best known and little known penetration testing aspects of BackTrack 5

Learn to perform penetration tests with BackTrack 5

Nearly 100 recipes designed to teach penetration testing principles and build knowledge of BackTrack 5 Tools

Provides detailed...

Ensemble Methods in Data Mining: Improving Accuracy Through Combining Predictions

Morgan and Claypool Publishers, 2010

Ensemble methods have been called the most influential development in Data Mining and Machine Learning in the past decade. They combine multiple models into one usually more accurate than the best of its components. Ensembles can provide a critical boost to industrial challenges -- from investment timing to drug discovery, and fraud detection...

A Concise Introduction to Languages and Machines (Undergraduate Topics in Computer Science)

Springer, 2008

This book focuses on key theoretical topics of computing, in particular formal languages and abstract machines. It is intended primarily to support the theoretical modules on a computer science or computing-related undergraduate degree scheme.

Though the book is primarily theoretical in nature, it attempts to avoid the...

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