Learn IT - Books tags regression

Data Mining and Business Analytics with R

John Wiley & Sons, 2013

Collecting, analyzing, and extracting valuable information froma large amount of data requires easily accessible, robust,computational and analytical tools. Data Mining and BusinessAnalytics with R utilizes the open source software R for theanalysis, exploration, and simplification of large high-dimensionaldata sets. As a result, readers are...

SPSS for Starters, Part 2 (SpringerBriefs in Statistics)

Springer, 2012

The small book ‘‘SPSS for Starters’’ issued in 2010 presented 20 chapters of cookbook like step by step data-analyses of clinical research, and was written to help clinical investigators and medical students analyze their data without the help of a statistician. The book served its purpose well enough, since...

Dealing with Uncertainties: A Guide to Error Analysis

Springer, 2009

Dealing with Uncertainties is an innovative monograph that lays special emphasis on the deductive approach to uncertainties and on the shape of uncertainty distributions. This perspective has the potential for dealing with the uncertainty of a single data point and with sets of data that have different weights. It is shown that the inductive...

Applied Statistics Using SPSS, STATISTICA, MATLAB and R

Springer, 2007

From the reviews:

"Aimed at students, professionals and research workers who need to apply statistical analysis to a large variety of practical problems using SPSS, MATLAB and STATISTICA, this book provides a comprehensive coverage of the main statistical analysis topics … . The relevant notions and methods are explained concisely,...

Essentials of Probability & Statistics for Engineers & Scientists

Pearson Education, 2012

This text was designed for a one-semester course that covers the essential topics needed for a fundamental understanding of basic statistics and its applications in the fields of...

Doing Data Science: Straight Talk from the Frontline

O'Reilly, 2013

Now that people are aware that data can make the difference in an election or a business model, data science as an occupation is gaining ground. But how can you get started working in a wide-ranging, interdisciplinary field that’s so clouded in hype? This insightful book, based on Columbia University’s Introduction to...

SAS for Mixed Models (Second Edition)

SAS Institute, 2006

David A. Dickey
Professor of Statistics, North Carolina State University
This revision of an already excellent text includes information-rich examples serving as templates for a wide variety of applications.

Geert Molenberghs
Center for Statistics, Hasselt University, Diepenbeek,...

Clojure for Machine Learning

Packt Publishing, 2014

In this compelling introduction to machine learning techniques and algorithms, you’ll learn how to use your knowledge of Clojure. From building systems to using machine learning techniques in cloud architecture, it’s the complete guide.

Overview

Covers a lot of machine learning techniques with...

Computer Age Statistical Inference: Algorithms, Evidence, and Data Science (Institute of Mathematical Statistics Monographs)

Cambridge University Press, 2016

The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. “Big data,” “data science,” and “machine learning” have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science...

Numerical Methods for Chemical Engineers with MATLAB Applications

Prentice Hall, 1999

Master numerical methods using MATLAB, today's leading software for problem solving.

This complete guide to numerical methods in chemical engineering is the first to take full advantage of MATLAB's powerful calculation environment....

Innovations in Fuzzy Clustering: Theory and Applications (Studies in Fuzziness and Soft Computing)

Springer, 2006

There is a great interest in clustering techniques due to the vast amount of data generated in every field including business, health, science, engineering, aerospace, management and so on. It is essential to extract useful information from the data. Clustering techniques are widely used in pattern recognition and related applications.

The...

Numerical Analysis Using MATLAB and Excel (Third Edition)

Orchard Publications, 2007

This text includes the following chapters and appendices: Introduction to MATLAB, Root approximations, Sinusoids and complex numbers, Matrices and determinants, Review of differential equations, Fourier, Taylor, and Maclaurin series, Finite differences and interpolation, Linear and parabolic regression, Solution of differential equations by...

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