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Pentaho for Big Data Analytics
Pentaho for Big Data Analytics

With your knowledge of Java and this guide, you can take the analysis of your big data to new levels using Pentaho. Covers all the essentials tools, techniques, tips, and tricks in one handy volume.

Overview

  • A guide to using Pentaho Business Analytics for big data analysis
  • Learn...
Learning Python Design Patterns
Learning Python Design Patterns

Written for intermediate Python programmers, this excellent tutorial will help streamline your work through the use of Design Patterns. You'll learn through example and clear explanations to expand your know-how and speed up your output.

Overview

  • Explore the Model-View-Controller pattern and learn how...
Learning Python Design Patterns - Second Edition
Learning Python Design Patterns - Second Edition

Key Features

  • Understand the structural, creational, and behavioral Python design patterns
  • Get to know the context and application of design patterns to solve real-world problems in software architecture, design, and application development
  • Get practical exposure through sample...
Learning Apache Mahout
Learning Apache Mahout

If you are a Java developer and want to use Mahout and Machine Learning to solve Big Data analytics use-cases then this book is for you. Familiarity with shell-scripts is assumed but no prior experience is required.

Learning Apache Mahout is aimed at providing a strong foundation in machine learning using Mahout. This book is ideal...

Online Damage Detection in Structural Systems: Applications of Proper Orthogonal Decomposition, and Kalman and Particle Filters (SpringerBriefs in Applied Sciences and Technology)
Online Damage Detection in Structural Systems: Applications of Proper Orthogonal Decomposition, and Kalman and Particle Filters (SpringerBriefs in Applied Sciences and Technology)

This monograph assesses in depth the application of recursive Bayesian filters in structural health monitoring. Although the methods and algorithms used here are well established in the field of automatic control, their application in the realm of civil engineering has to date been limited. The monograph is therefore intended as a reference...

Ruby Under a Microscope: An Illustrated Guide to Ruby Internals
Ruby Under a Microscope: An Illustrated Guide to Ruby Internals

Ruby is a powerful programming language with a focus on simplicity, but beneath its elegant syntax it performs countless unseen tasks.

Ruby Under a Microscope gives you a hands-on look at Ruby's core, using extensive diagrams and thorough explanations to show you how Ruby is implemented (no C skills
...

Global Optimization Methods in Geophysical Inversion
Global Optimization Methods in Geophysical Inversion

Providing an up-to-date overview of the most popular global optimization methods used in interpreting geophysical observations, this new edition includes a detailed description of the theoretical development underlying each method and a thorough explanation of the design, implementation and limitations of algorithms. New and expanded chapters...

High Performance Deformable Image Registration Algorithms for Manycore Processors
High Performance Deformable Image Registration Algorithms for Manycore Processors

High Performance Deformable Image Registration Algorithms for Manycore Processors develops highly data-parallel image registration algorithms suitable for use on modern multi-core architectures, including graphics processing units (GPUs). Focusing on deformable registration, we show how to develop data-parallel versions of the...

Continuous Average Control of Piecewise Deterministic Markov Processes (SpringerBriefs in Mathematics)
Continuous Average Control of Piecewise Deterministic Markov Processes (SpringerBriefs in Mathematics)

The intent of this book is to present recent results in the control theory for the long run average continuous control problem of piecewise deterministic Markov processes (PDMPs). The book focuses mainly on the long run average cost criteria and  extends to the PDMPs some well-known techniques related to discrete-time and continuous-time...

Design and Analysis of Spiral Inductors
Design and Analysis of Spiral Inductors

The book addresses the critical challenges faced by the ever-expanding wireless communication market and the increasing frequency of operation due to continuous innovation of high performance integrated passive devices. The challenges like low quality factor, design complexity, manufacturability, processing cost, etc., are studied with...

Accelerating MATLAB with GPU Computing: A Primer with Examples
Accelerating MATLAB with GPU Computing: A Primer with Examples

Beyond simulation and algorithm development, many developers increasingly use MATLAB even for product deployment in computationally heavy fields. This often demands that MATLAB codes run faster by leveraging the distributed parallelism of Graphics Processing Units (GPUs). While MATLAB successfully provides high-level functions as a simulation...

Scaling up Machine Learning: Parallel and Distributed Approaches
Scaling up Machine Learning: Parallel and Distributed Approaches

This book presents an integrated collection of representative approaches for scaling up machine learning and data mining methods on parallel and distributed computing platforms. Demand for parallelizing learning algorithms is highly task-specific: in some settings it is driven by the enormous dataset sizes, in others by model complexity or by...

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