Learn IT - Books tags statistics

Fundamentals of Managerial Economics with InfoTrac College Edition

South-Western College, 2002

The seventh edition of this market-leading text continues its tradition of providing a solid foundation of economic understanding for use in managerial decision making. It offers a practical treatment of economic theory and analysis in an intutive, algebra-based format. Its focus is on presenting those aspects of economic theory and analysis that...

Great Jobs for Engineering Majors (Great Jobs Series)

McGraw-Hill, 2008

Engineer a bright future for yourself!

You've worked hard for that engineering degree. Now what? Sometimes the choice of careers can seem endless; the most difficult part of a job search is narrowing down your options.

Great Jobs for Engineering Majors will help you choose the right career out of the myriad...

IT Inventory and Resource Management with OCS Inventory NG 1.02

Packt Publishing, 2010

OCS Inventory NG is a cross-platform, open-source inventory and asset management solution. It brings more than plentiful features to the table to satisfy the business needs of small-to-large organizations with up to tens of thousands of computers. However, to put this inventory solution to optimum use requires a lot of skill.

This...

Mastering Elasticsearch, Second Edition

Packt Publishing, 2015

Further your knowledge of the Elasticsearch server by learning more about its internals, querying, and data handling

About This Book

Understand Apache Lucene and Elasticsearch's design and architecture

Design your index, configure it, and distribute it, not only with assumptions, but...

OECD Information Technology Outlook 2010

OECD, 2010

The OECD Information Technology Outlook 2010 has been prepared by the OECD under the guidance of the OECD Committee for Information, Computer and Communications Policy (ICCP), and in particular the Working Party on the Information Economy. This edition is the tenth in a biennial series designed to provide members with a broad overview of...

Beginning Big Data with Power BI and Excel 2013: Big Data Processing and Analysis Using PowerBI in Excel 2013

Apress, 2015

In Beginning Big Data with Power BI and Excel 2013, you will learn to solve business problems by tapping the power of Microsoft’s Excel and Power BI to import data from NoSQL and SQL databases and other sources, create relational data models, and analyze business problems through sophisticated dashboards and data-driven...

Probabilistic Modelling in Bioinformatics and Medical Informatics

Springer, 2004

Probabilistic Modelling in Bioinformatics and Medical Informatics has been written for researchers and students in statistics, machine learning, and the biological sciences. The first part of this book provides a self-contained introduction to the methodology of Bayesian networks. The following parts demonstrate how these...

R Through Excel: A Spreadsheet Interface for Statistics, Data Analysis, and Graphics (Use R!)

Springer, 2009

In this book, the authors build on RExcel, a free add-in for Excel that can be downloaded from the R distribution network. RExcel seamlessly integrates the entire set of R's statistical and graphical methods into Excel, allowing students to focus on statistical methods and concepts and minimizing the distraction of learning a new...

Heuristic and Optimization for Knowledge Discovery

Idea Group Publishing, 2002

With the large amount of data stored by many organizations, capitalists have observed that this information is an intangible asset. Unfortunately, handling large databases is a very complex process and traditional learning techniques are expensive to use. Heuristic techniques provide much help in this arena, although little is known about heuristic...

The Excel Analyst's Guide to Access

John Wiley & Sons, 2010

The ultimate handbook for Excel analysts who need reporting solutions using Access

Excel and Access are intended to work together. This book offers a comprehensive review of the extensive analytical and reporting functionality that Access provides and how it enhances Excel reporting functions.

Sales managers, operations...

Applied Bayesian Statistics: With R and OpenBUGS Examples (Springer Texts in Statistics)

Springer, 2013

This book is based on over a dozen years teaching a Bayesian Statistics course. The material presented here has been used by students of different levels and disciplines, including advanced undergraduates studying Mathematics and Statistics and students in graduate programs in Statistics, Biostatistics, Engineering, Economics,...

Applied Stochastic Differential Equations (Institute of Mathematical Statistics Textbooks)

Cambridge University Press, 2019

Stochastic differential equations are differential equations whose solutions are stochastic processes. They exhibit appealing mathematical properties that are useful in modeling uncertainties and noisy phenomena in many disciplines. This book is motivated by applications of stochastic differential equations in target tracking and medical...

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