Showing results for "patrick sabourin"
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Microsimulation and Population Dynamics
An Introduction to Modgen 12
2017
EN
This book is a practical, step-by-step introduction to microsimulation in demography. It shows how to use Modgen, a powerful and free microsimulation platform built by Statistics Canada. The authors' hands-on explanation of model development will help readers make their own. The book teaches how to create and run a simple cohort model with a single fixed-rate event, and builds upon this concept. It introduces how to develop both a single state life table as well as a multiple increment-dec...
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2015
EN
This book is written based on practical usage and research on computer security and networks. Basically everyone has strong concern about computer security networks where by it can sabotage the business and operations. It will be worse if the entire business operations are running on the website or web hosting company.This book covers practical approach on software tools for ethical hacking. Some of the software tools covered are SQL Injection, Password Cracking, port scanning, pac...
Computer Organization and Design RISC-V Edition
The Hardware Software Interface
2017
EN
The new RISC-V Edition of Computer Organization and Design features the RISC-V open source instruction set architecture, the first open source architecture designed to be used in modern computing environments such as cloud computing, mobile devices, and other embedded systems. With the post-PC era now upon us, Computer Organization and Design moves forward to explore this generational change with examples, exercises, and material highlighting the emergence of mobile computing and the Cloud...
2017
EN
A 100% practical approach to quickly acquire the basics of Linux administration,ideal for beginners wishing to be quickly operational in Linux administration, this survival guide is the essential companion to never feel lost in a Linux world. This book is intended for students, academics and engineers and more generally to anyone wishing to acquire a good knowledge of Linux system. The main controls and lines of code used every day to carry out the simplest to the most complex tasks are ad...
2014
EN
Using R for Statistics will get you the answers to most of the problems you are likely to encounter when using a variety of statistics. This book is a problem-solution primer for using R to set up your data, pose your problems and get answers using a wide array of statistical tests. The book walks you through R basics and how to use R to accomplish a wide variety statistical operations.You'll be able to navigate the R system, enter and import data, manipulate datasets, ca...
25 Recipes for Getting Started with R
Excerpts from the R Cookbook
2011
EN
R is a powerful tool for statistics and graphics, but getting started with this language can be frustrating. This short, concise book provides beginners with a selection of how-to recipes to solve simple problems with R. Each solution gives you just what you need to know to use R for basic statistics, graphics, and regression.You'll find recipes on reading data files, creating data frames, computing basic statistics, testing means and correlations, creating a scatter plot, performi...
2011
EN
The Ultimate Reference & Learning Guide for COBOL programming careers!Over 150 Certification Questions, Answers, and ExplanationsIt's clear that even today global demand for COBOL programmers is robust. Practitioners who wish to remain competitive in the global market need new resources. And finding these resources can be difficult. This book is the direct response to demand for information you can use right now in your programming career. Over 150 COBOL Interview Questions...
Learning R
A Step-by-Step Function Guide to Data Analysis
2013
EN
Learn how to perform data analysis with the R language and software environment, even if you have little or no programming experience. With the tutorials in this hands-on guide, youâ??ll learn how to use the essential R tools you need to know to analyze data, including data types and programming concepts.The second half of Learning R shows you real data analysis in action by covering everything from importing data to publishing your results. Each chapter in the book includ...
Mastering Data analysis with R
Gain sharp insights into your data and solve real-world data science problems with R—from data munging to modeling and visualization
2015
EN
Gain sharp insights into your data and solve real-world data science problems with R—from data munging to modeling and visualizationKey FeaturesBook DescriptionGain sharp insights into your data and solve real-world data science problems with R—from data munging to modeling and visualization About This Book Handle your data with precision and care for optimal business intelligence Restructure and transform your data to inform decision-making Packed wit...
Big Data Analytics with R
Leverage R Programming to uncover hidden patterns in your Big Data
2016
EN
Utilize R to uncover hidden patterns in your Big Data Key Features\[\* \] Perform computational analyses on Big Data to generate meaningful results\[\*\] Get a practical knowledge of R programming language while working on Big Data platforms like Hadoop, Spark, H2O and SQL/NoSQL databases,\[\*\] Explore fast, streaming, and scalable data analysis with the most cutting-edge technologies in the marketBook DescriptionBig Data an...
ActionScript Developer's Guide to Robotlegs
Building Flexible Rich Internet Applications
2011
EN
Robotlegs is a standout among the ActionScript 3 development frameworks available today. With it, Flash, Flex, and AIR developers can create well-architected, testable, and flexible Rich Internet Applications—fast. This concise guide shows you how the light footprint and focused scope of this open source framework not only solves your immediate coding problems, it helps you gain insight into AS3 architecture on a much deeper level.The authors provide a walkthrough of speci...
2012
EN
As an alternative to traditional client-server systems, Peer-to-Peer (P2P) systems provide major advantages in terms of scalability, autonomy and dynamic behavior of peers, and decentralization of control. Thus, they are well suited for large-scale data sharing in distributed environments. Most of the existing P2P approaches for data sharing rely on either structured networks (e.g., DHTs) for efficient indexing, or unstructured networks for ease of deployment, or some combination. However,...











