Learn IT - Books tags regression

Engineering Mathematics

Taylor & Francis, 2007

John Bird's approach to mathematics, based on numerous worked examples supported by problems, is ideal for students of a wide range of abilities. Theory is kept to a minimum, with the emphasis firmly placed on problem-solving skills, making this a thoroughly practical introduction to the mathematics engineering students need to...

Making Sense of Data II: A Practical Guide to Data Visualization, Advanced Data Mining Methods, and Applications

John Wiley & Sons, 2009

A hands-on guide to making valuable decisions from data using advanced data mining methods and techniques

This second installment in the Making Sense of Data series continues to explore a diverse range of commonly used approaches to making and communicating decisions from data. Delving into more technical topics, this book equips...

Statistical Analysis of Financial Data in R (Springer Texts in Statistics)

Springer, 2013

Although there are many books on mathematical finance, few deal with the statistical aspects of modern data analysis as applied to financial problems. This textbook fills this gap by addressing some of the most challenging issues facing financial engineers. It shows how sophisticated mathematics and modern statistical techniques can...

Patterns in Java, Volume 2

John Wiley & Sons, 1999

Mark Grand's Patterns in Java, Volume 2 offers a grab bag of 50 reusable patterns for Java developers. Together, these patterns can improve your graphical user interface (GUI) design, testing, and the overall robustness of your next Java project.

After a short introduction to patterns and UML (unified modeling language) basics, the...

Data Analysis with R

Packt Publishing, 2015

Key Features

Load, manipulate and analyze data from different sources
Gain a deeper understanding of fundamentals of applied statistics
A practical guide to performing data analysis in practice

Book Description

Frequently the tool of choice for academics, R...

Practical Guide To Chemometrics, Second Edition

CRC Press, 2006

Chemometrics is an interdisciplinary field that combines statistics and chemistry. From its earliest days, chemometrics has always been a practically oriented subdiscipline of analytical chemistry aimed at solving problems often overlooked by mainstream statisticians. An important example is solving multivariate calibration problems at reduced...

The Essence of Multivariate Thinking: Basic Themes and Methods (Multivariate Applications)

Lawrence Erlbaum Associates, 2005

The Essence of Multivariate Thinking is intended to make multivariate statistics more accessible to a wide audience. To encourage a more thorough understanding of multivariate methods, author Lisa Harlow suggests basic themes that run through most statistical methodology. The most pervasive theme is multiplicity. The author argues that the...

Statistics for Chemical and Process Engineers: A Modern Approach

Springer, 2015

A coherent, concise and comprehensive course in the statistics needed for a modern career in chemical engineering; covers all of the concepts required for the American Fundamentals of Engineering examination.

This book shows the reader how to develop and test models, design experiments and analyse data in ways easily...

R For Dummies

For Dummies, 2012

Master the programming language of choice among statisticians and data analysts worldwide

Coming to grips with R can be tough, even for seasoned statisticians and data analysts. Enter R For Dummies, the quick, easy way to master all the R you'll ever need. Requiring no prior programming experience and packed with...

Introduction to Machine Learning with R: Rigorous Mathematical Analysis

O'Reilly, 2018

Machine learning is an intimidating subject until you know the fundamentals. If you understand basic coding concepts, this introductory guide will help you gain a solid foundation in machine learning principles. Using the R programming language, you’ll first start to learn with regression modelling and then move into more...

Cost Estimation Techniques for Web Projects

IGI Global, 2007

Having realistic estimates of effort at an early stage in a Web project's life is vital to the successful management of resources. The principles of the prediction process are identifying the influencing factors, gathering past project data, generating an effort prediction model, and assessing the effectiveness of such prediction model. Cost...

An Introduction to Analysis of Financial Data with R

John Wiley & Sons, 2012

A complete set of statistical tools for beginning financial analysts from a leading authority

Written by one of the leading experts on the topic, An Introduction to Analysis of Financial Data with R explores basic concepts of visualization of financial data. Through a fundamental balance between theory and...

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