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Excel 2016 All-in-One For Dummies
Excel 2016 All-in-One For Dummies

Your one-stop guide to all things Excel 2016

Excel 2016 All-in-One For Dummies, the most comprehensive Excel reference on the market, is completely updated to reflect Microsoft's changes in the popular spreadsheet tool. It offers you everything you need to grasp basic Excel functions, such as creating and editing...

R Deep Learning Essentials
R Deep Learning Essentials

Key Features

  • Harness the ability to build algorithms for unsupervised data using deep learning concepts with R
  • Master the common problems faced such as overfitting of data, anomalous datasets, image recognition, and performance tuning while building the models
  • Build models relating to neural...
Advances in Statistical Methods for the Health Sciences: Applications to Cancer and AIDS Studies, Genome Sequence Analysis, and Survival Analysis (Statistics for Industry and Technology)
Advances in Statistical Methods for the Health Sciences: Applications to Cancer and AIDS Studies, Genome Sequence Analysis, and Survival Analysis (Statistics for Industry and Technology)

Statistical methods have become an increasingly important and integral part of research in the health sciences. Many sophisticated methodologies have been developed for specific applications and problems. This self-contained comprehensive volume covers a wide range of topics pertaining to new statistical methods in the health sciences,...

Big and Complex Data Analysis: Methodologies and Applications (Contributions to Statistics)
Big and Complex Data Analysis: Methodologies and Applications (Contributions to Statistics)

This volume conveys some of the surprises, puzzles and success stories in high-dimensional and complex data analysis and related fields. Its peer-reviewed contributions showcase recent advances in variable selection, estimation and prediction strategies for a host of useful models, as well as essential new developments in the field.

...

Six Sigma and Beyond: Statistical Process Control, Volume IV
Six Sigma and Beyond: Statistical Process Control, Volume IV
This guide introduces the statistical process control (SPC) methodology for collecting data, arranging data in a chart or graph form, and interpreting the data to reduce variations in the process.

Features

  • Provides an overview of SPC in very simple, easily understood terms
  • Reviews and explains traditional...
Social Semantics: The Search for Meaning on the Web (Semantic Web and Beyond)
Social Semantics: The Search for Meaning on the Web (Semantic Web and Beyond)

Social Semantics: The Search for Meaning on the Web provides a unique introduction to identity and reference theories of the World Wide Web, through the academic lens of philosophy of language and data-driven statistical models. The Semantic Web is a natural evolution of the Web, and this book covers the URL-based Web architecture...

Unsupervised Learning with R
Unsupervised Learning with R

Work with over 40 packages to draw inferences from complex datasets and find hidden patterns in raw unstructured data

About This Book

  • Unlock and discover how to tackle clusters of raw data through practical examples in R
  • Explore your data and create your own models from scratch
  • ...
Profit From Your Forecasting Software: A Best Practice Guide for Sales Forecasters (Wiley and SAS Business Series)
Profit From Your Forecasting Software: A Best Practice Guide for Sales Forecasters (Wiley and SAS Business Series)

Go beyond technique to master the difficult judgement calls of forecasting

A variety of software can be used effectively to achieve accurate forecasting, but no software can replace the essential human component. You may be new to forecasting, or you may have mastered the statistical theory behind the software’s...

Methods of Contemporary Mathematical Statistical Physics (Lecture Notes in Mathematics)
Methods of Contemporary Mathematical Statistical Physics (Lecture Notes in Mathematics)
This volume presents a collection of courses introducing the reader to the recent progress with attention being paid to laying solid grounds and developing various basic tools. An introductory chapter on lattice spin models is useful as a background for other lectures of the collection. The topics include new results on phase transitions for...
Information theory and statistics
Information theory and statistics
Highly useful text studies logarithmic measures of information and their application to testing statistical hypotheses. Includes numerous worked examples and problems. References. Glossary. Appendix....
Reproducible Research with R and R Studio (Chapman & Hall/CRC The R Series)
Reproducible Research with R and R Studio (Chapman & Hall/CRC The R Series)

Bringing together computational research tools in one accessible source, Reproducible Research with R and RStudio guides you in creating dynamic and highly reproducible research. Suitable for researchers in any quantitative empirical discipline, it presents practical tools for data collection, data analysis, and the...

Data Mining: Practical Machine Learning Tools and Techniques, Third Edition
Data Mining: Practical Machine Learning Tools and Techniques, Third Edition

The convergence of computing and communication has produced a society that feeds on information. Yet most of the information is in its raw form: data. If data is characterized as recorded facts, then information is the set of patterns, or expectations, that underlie the data. There is a huge amount of information locked up in...

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