Learn IT - Books tags statistical

Data Mashups in R

O'Reilly, 2009

This article demonstrates how the realworld data is imported, managed, visualized, and analyzed within the R statistical framework. Presented as a spatial mashup, this tutorial introduces the user to R packages, R syntax, and data structures. The user will learn how the R environment works with R packages as well as its own capabilities in...

Machine Learning in Action

Manning Publications, 2012

After college I went to work for Intel in California and mainland China. Originally my plan was to go back to grad school after two years, but time flies when you are having fun, and two years turned into six. I realized I had to go back at that point, and I didn’t want to do night school or online learning, I wanted to sit on...

Practical Business Analytics Using SAS: A Hands-on Guide

Apress, 2015

Practical Business Analytics Using SAS: A Hands-on Guide shows SAS users and businesspeople how to analyze data effectively in real-life business scenarios.

The book begins with an introduction to analytics, analytical tools, and SAS programming. The authors—both SAS, statistics, analytics, and big data...

Natural Language Processing and Computational Linguistics: A practical guide to text analysis with Python, Gensim, spaCy, and Keras

Packt Publishing, 2018

Work with Python and powerful open source tools such as Gensim and spaCy to perform modern text analysis, natural language processing, and computational linguistics algorithms.

Key Features

Discover the open source Python text analysis ecosystem, using spaCy, Gensim, scikit-learn, and...

Data Modeling for Metrology and Testing in Measurement Science

Birkhauser, 2008

This book and companion DVD provide a comprehensive set of modeling methods for data and uncertainty analysis, taking readers beyond mainstream methods described in standard texts. The emphasis throughout is on techniques having a broad range of real-world applications in measurement science. Mainstream methods of data modeling and analysis...

The Top Ten Algorithms in Data Mining

CRC Press, 2009

Identifying some of the most influential algorithms that are widely used in the data mining community, The Top Ten Algorithms in Data Mining provides a description of each algorithm, discusses its impact, and reviews current and future research. Thoroughly evaluated by independent reviewers, each chapter focuses on a...

The Tao of Network Security Monitoring : Beyond Intrusion Detection

Addison Wesley, 2004

Every network can be compromised. There are too many systems, offering too many services, running too many flawed applications. No amount of careful coding, patch management, or access control can keep out every attacker. If prevention eventually fails, how do you prepare for the intrusions that will eventually happen?

...

Human Impact on the Natural Environment

John Wiley & Sons, 2018

A brand new edition of the definitive textbook on humankind’s impact on the Earth’s environment—now in full color

This classic text explores the multitude of impacts that humans have had over time upon vegetation, animals, soils, water, landforms, and the atmosphere. It considers the ways in which climate...

Text Mining: Classification, Clustering, and Applications

CRC Press, 2009

This book is a worthy contribution to the field of text mining. By focusing on classification (rather than exhaustively covering extraction, summarization, and other tasks), it achieves the right balance of coherence and comprehensiveness. It collects papers by the leading authors in the field, who employ and explain a variety of...

Handbook of Educational Data Mining (CRC Data Mining and Knowledge Discovery Series)

CRC Press, 2010

The goal of this book is to provide an overview of the current state of knowledge of educational data mining (EDM). The primary goal of EDM is to use large-scale educational data sets to better understand learning and to provide information about the learning process. Although researchers have been studying human learning for over a...

Bayesian Data Analysis, Second Edition (Chapman & Hall/CRC Texts in Statistical Science)

CRC Press, 2003

This book is intended to have three roles and to serve three associated audiences: an introductory text on Bayesian inference star ting from first principles, a graduate text on effective current approaches to Bayesian modeling and computation in statistics and related fields, and a handbook of Bayesian meth ods in applied...

Statistics for Business and Economics (Book Only)

South-Western College, 2010

Discover how the most trusted approach to statistics today is Simply Powerful. The latest market-leading text from respected authors Anderson/Sweeney/Williams, STATISTICS FOR BUSINESS AND ECONOMICS, 11e, introduces sound statistical methodology within a strong applications setting like no other text. The authors clearly demonstrate how...

Result Page: 82 81 80 79 78 77 76 75 74 73 72 71 70 69 68 67 66 65 64