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Hadoop Real World Solutions Cookbook
Hadoop Real World Solutions Cookbook

Ever felt you could use some no-nonsense, practical help when developing applications with Hadoop? Well, you've just found it. This real-world solutions cookbook is packed with handy recipes you can apply to your own everyday issues.

Overview

  • Solutions to common problems when working in the Hadoop...
Python Algorithms: Mastering Basic Algorithms in the Python Language
Python Algorithms: Mastering Basic Algorithms in the Python Language

Python Algorithms, Second Edition explains the Python approach to algorithm analysis and design. Written by Magnus Lie Hetland, author of Beginning Python, this book is sharply focused on classical algorithms, but it also gives a solid understanding of fundamental algorithmic problem-solving techniques.

The book...

Network Security Through Data Analysis: Building Situational Awareness
Network Security Through Data Analysis: Building Situational Awareness

Traditional intrusion detection and logfile analysis are no longer enough to protect today’s complex networks. In this practical guide, security researcher Michael Collins shows you several techniques and tools for collecting and analyzing network traffic datasets. You’ll understand how your network is used, and what...

Mastering Parallel Programming with R
Mastering Parallel Programming with R

Master the robust features of R parallel programming to accelerate your data science computations

About This Book

  • Create R programs that exploit the computational capability of your cloud platforms and computers to the fullest
  • Become an expert in writing the most efficient and highest...
Introduction to the Mathematics of Medical Imaging, Second Edition
Introduction to the Mathematics of Medical Imaging, Second Edition
At the heart of every medical imaging technology is a sophisticated mathematical model of the measurement process and an algorithm to reconstruct an image from the measured data. This book provides a firm foundation in the mathematical tools used to model the measurements and derive the reconstruction algorithms used in most imaging modalities in...
Essentials of Mathematical Methods in Science and Engineering
Essentials of Mathematical Methods in Science and Engineering

A comprehensive introduction to the multidisciplinary applications of mathematical methods, revised and updated

The second edition of Essentials of Mathematical Methods in Science and Engineering offers an introduction to the key mathematical concepts of advanced calculus, differential equations, complex...

An Introduction to the Analysis of Algorithms (2nd Edition)
An Introduction to the Analysis of Algorithms (2nd Edition)

Despite growing interest, basic information on methods and models for mathematically analyzing algorithms has rarely been directly accessible to practitioners, researchers, or students. An Introduction to the Analysis of Algorithms, Second Edition, organizes and presents that knowledge, fully...

Hadoop in Action
Hadoop in Action

Hadoop in Action teaches readers how to use Hadoop and write MapReduce programs. The intended readers are programmers, architects, and project managers who have to process large amounts of data offline. Hadoop in Action will lead the reader from obtaining a copy of Hadoop to setting it up in a cluster and writing data...

Introduction to Numerical Ordinary and Partial Differential Equations Using MATLAB
Introduction to Numerical Ordinary and Partial Differential Equations Using MATLAB
Learn how to solve complex differential equations using MATLAB®

Introduction to Numerical Ordinary and Partial Differential Equations Using MATLAB® teaches readers how to numerically solve both ordinary and partial differential equations with ease. This innovative publication brings together a skillful treatment of MATLAB...

S+Functional Data Analysis User's Guide
S+Functional Data Analysis User's Guide
S+Functional Data Analysis is the first commercial object oriented package for exploring, modeling, and analyzing functional data. Functional data analysis (FDA) handles longitudinal data and treats each observation as a function of time (or other variable). The functions are related. The goal is to analyze a sample of functions instead of a...
The Method of Trigonometrical Sums in the Theory of Numbers (Dover Books on Mathematics)
The Method of Trigonometrical Sums in the Theory of Numbers (Dover Books on Mathematics)
Since 1934 the analytic theory of numbers has been largely transformed by the \vork of Vinogradov. This \vork, which has led to remarkable ne\v results, is characterized by its supreme ingenuity and great power.

Vinogradov has expounded his method and its applications in a series of papers and in two monographs 1), which appeared in 1937
...
Mathematics for Computer Graphics
Mathematics for Computer Graphics
Baffled by maths? Then don't give up hope. John Vince will show you how to understand many of the mathematical ideas used in computer animation, virtual reality, CAD, and other areas of computer graphics. In thirteen chapters you will rediscover - and hopefully discover for the first time a new way of understanding - the mathematical techniques...
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