Learn IT - Books tags logistic

Introductory Statistics with R (Statistics and Computing)

Springer, 2008

This book provides an elementary-level introduction to R, targeting both non-statistician scientists in various fields and students of statistics. The main mode of presentation is via code examples with liberal commenting of the code and the output, from the computational as well as the statistical viewpoint. Brief sections introduce the...

Data Mining and Statistics for Decision Making

John Wiley & Sons, 2011

Data mining is the process of automatically searching large volumes of data for models and patterns using computational techniques from statistics, machine learning and information theory; it is the ideal tool for such an extraction of knowledge. Data mining is usually associated with a business or an organization's need to identify...

Information Technology for Management: Improving Strategic and Operational Performance

John Wiley & Sons, 2011

Students graduating today face a tough job market—making it important that they develop the expertise and critical thinking skills that give them a competitive edge. Information Technology for Management, 8th edition is designed to give students an edge when they face the challenges and opportunities that business...

Mastering .NET Machine Learning

Packt Publishing, 2016

About This Book

Based on .NET framework 4.6.1, includes examples on ASP.NET Core 1.0

Set up your business application to start using machine learning techniques

Familiarize the user with some of the more common .NET libraries for machine learning

Implement...

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...

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...

Data Analysis Using Regression and Multilevel/Hierarchical Models

Cambridge University Press, 2006

Data Analysis Using Regression and Multilevel/Hierarchical Models is a comprehensive manual for the applied researcher who wants to perform data analysis using linear and nonlinear regression and multilevel models. The book introduces a wide variety of models, whilst at the same time instructing the reader in how to fit these models using...

Python: Data Analytics and Visualization

Packt Publishing, 2017

Understand, evaluate, and visualize data About This Book - Learn basic steps of data analysis and how to use Python and its packages - A step-by-step guide to predictive modeling including tips, tricks, and best practices - Effectively visualize a broad set of analyzed data and generate effective results Who This Book Is For This book is for...

Beginning R: An Introduction to Statistical Programming

Apress, 2015

Beginning R, Second Edition is a hands-on book showing how to use the R language, write and save R scripts, read in data files, and write custom statistical functions as well as use built in functions. This book shows the use of R in specific cases such as one-way ANOVA analysis, linear and logistic regression, data visualization,...

Flexibility and Robustness in Scheduling

John Wiley & Sons, 2008

Scheduling is a broad research area and scheduling problems arise from several application domains (production systems, logistic, computer science, etc.). Solving scheduling problems requires tools of combinatorial optimization, exact or approximated algorithms. Flexibility is at the frontier between predictive deterministic approaches and...

Categorical Data Analysis With Sas and Spss Applications

Psychology Press, 2003

This book is primarily designed for a senior undergraduate class in Categorical Data Analysis and for majors in biomedical, biostatistics and statistics programs, but can also be used as reference text for researchers working in the area, and /or for an introductory text in a graduate course on the subject. A prerequisite of a one year...

Online Storage Systems and Transportation Problems with Applications: Optimization Models and Mathematical Solutions

Springer, 2006

This book covers the analysis and development of online algorithms
involving exact optimization and heuristic techniques, and their application
to solve two real life problems.

The first problem is concerned with a complex technical system: a
special carousel based high-speed storage system - Rotastore. It is shown...

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