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Author César Pérez López
MATLAB is a high-level language and environment for numerical computation, visualization, and programming. Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and built-in math functions enable you to exp....
Release Date 2014/12 -
R Data Science Quick Reference: A Pocket Guide to APIs, Libraries, and Packages
Author Thomas Mailund
In this handy, practical book you will cover each concept concisely, with many illustrative examples. You'll be introduced to several R data science packages, with examples of how to use each of them. In this book, you’ll learn about the following APIs and package....
Release Date 2019/08 -
Author Connor Carreras , Sean Kandel , Jeffrey Heer , Tye Rattenbury , Joseph M. Hellerstei
A key task that any aspiring data-driven organization needs to learn is data wrangling, the process of converting raw data into something truly useful. This practical guide provides business analysts with an overview of various data wrangling techniques and tools, ....
Release Date 2017/07 -
Author Mike Barlow , Gregory Fell
Though data is increasingly seen as a source of power and wealth, very few organizations today realize what they have. Companies collect an astonishing volume and variety of data, but most of them lack the skills and experience needed to identify and gauge the valu....
Release Date 2016/04 -
Test Scoring and Analysis Using SAS
Author EdD Ron Cody , Jeffrey Smith
Develop your own multiple-choice tests, score students, produce student rosters (in print form or Excel), and explore item response theory (IRT). Aimed at nonstatisticians working in education or training, Test Scoring and Analysis Using SAS describes item analysis....
Release Date 2014/12 -
Business Statistics Made Easy in SAS
Author Gregory Lee
Learn or refresh core statistical methods for business with SAS® and approach real business analytics issues and techniques using a practical approach that avoids complex mathematics and instead employs easy-to-follow explanations. Business Statistics Made Eas....
Release Date 2015/10 -
Portfolio and Investment Analysis with SAS
Author Ganlin Xu , Ziwei Wang , John B. Guerard
Choose statistically significant stock selection models using SAS®Portfolio and Investment Analysis with SAS®: Financial Modeling Techniques for Optimization is an introduction to using SAS to choose statistically significant stock selection models, create mean-var....
Release Date 2019/04 -
Author Stephen Redmond
Unleash the power of QlikView and Qlik Sense to make optimum use of data for Business IntelligenceIn DetailQlikView and its new sister product, Qlik Sense, are the leading tools for BI and data discovery. They both feature the ability to consolidate relevant data fr....
Release Date 2014/11 -
Author Avinash Paul , Ashish Kumar
Master text-taming techniques and build effective text-processing applications with RAbout This BookDevelop all the relevant skills for building text-mining apps with R with this easy-to-follow guideGain in-depth understanding of the text mining process with lucid ....
Release Date 2016/12 -
Author Gopi Subramanian
Get valuable insights from your data by building data analysis systems from scratch with R.About This BookA handy guide to take your understanding of data analysis with R to the next levelReal-world projects that focus on problems in finance, network analysis, soci....
Release Date 2017/11 -
Go Web Scraping Quick Start Guide
Author Vincent Smith
Learn how some Go-specific language features help to simplify building web scrapers along with common pitfalls and best practices regarding web scraping.Key FeaturesUse Go libraries like Goquery and Colly to scrape the web Common pitfalls and best practices to effe....
Release Date 2019/01 -
Author Jules J. Berman
Data Simplification: Taming Information With Open Source Tools addresses the simple fact that modern data is too big and complex to analyze in its native form. Data simplification is the process whereby large and complex data is rendered usable. Complex data must b....
Release Date 2016/03 -
Author Bumman Kim
Doherty Power Amplifiers: From Fundamentals to Advanced Design Methods is a great resource for both RF and microwave engineers and graduate students who want to understand and implement the technology into future base station and mobile handset systems. The book in....
Release Date 2018/03 -
Portfolio Construction and Analytics
Author Dessislava A. Pachamanova , Frank J. Fabozzi
A detailed, multi-disciplinary approach to investment analyticsPortfolio Construction and Analytics provides an up-to-date understanding of the analytic investment process for students and professionals alike. With complete and detailed coverage of portfolio analyt....
Release Date 2016/04 -
Applied Statistics and Probability for Engineers, 6th Edition
Author George C. Runger , Douglas C. Montgomery
This best-selling engineering statistics text provides a practical approach that is more oriented to engineering and the chemical and physical sciences than many similar texts. It is packed with unique problem sets that reflect realistic situations engineers will en....
Release Date 2013/11 -
Wellbeing: A Complete Reference Guide, Volume IV, Wellbeing in Later Life
Author Cary L. Cooper , Thomas B. L. Kirkwood
Wellbeing in Later Life uses the latest research from a variety of disciplines to address and correct common myths and misconceptions about aging.Covers topics ranging from biological mechanisms that affect aging to lifestyle, attitudes, and social factorsExamines t....
Release Date 2014/03 -
Data Mining and Learning Analytics
Author Osmar R. Zaïane , Donald Ipperciel , Samira ElAtia
Addresses the impacts of data mining on education and reviews applications in educational research teaching, and learning This book discusses the insights, challenges, issues, expectations, and practical implementation of data mining (DM) within educational mandate....
Release Date 2016/09 -
Quantitative Corpus Linguistics with R
Author Stefan Th. Gries
The first textbook of its kind, Quantitative Corpus Linguistics with R demonstrates how to use the open source programming language R for corpus linguistic analyses. Computational and corpus linguists doing corpus work will find that R provides an enormous range of ....
Release Date 2009/03 -
Author Allen B. Downey
Think Stats: Probability and Statistics for Programmers is a textbook for a new kind of introductory prob-stat class. It emphasizes the use of statistics to explore large datasets. It takes a computation approach: students write programs in Python as a way of deve....
Release Date 2011/07 -
Author Ralf Klinkenberg , Markus Hofmann
Powerful, Flexible Tools for a Data-Driven WorldAs the data deluge continues in today's world, the need to master data mining, predictive analytics, and business analytics has never been greater. These techniques and tools provide unprecedented insights into data, ....
Release Date 2016/04 -
Author Erik Lindström , Henrik Madsen , Jan Nygaard Nielsen
Statistics for Finance develops students’ professional skills in statistics with applications in finance. Developed from the authors’ courses at the Technical University of Denmark and Lund University, the text bridges the gap between classical, rigorous treatments ....
Release Date 2016/04 -
Pro Tableau: A Step-by-Step Guide
Author Subhashini Chellappan , Seema Acharya
Leverage the power of visualization in business intelligence and data science to make quicker and better decisions. Use statistics and data mining to make compelling and interactive dashboards. This book will help those familiar with Tableau software chart their jo....
Release Date 2016/12 -
Advanced Audio Visualization Using ThMAD: Creating Amazing Graphics with Open Source Software
Author Peter Späth
Learn advanced techniques and improve your audio visualization skills with Thinking Machine Audio Dreams (ThMAD). With this book, you can concentrate on advanced examples and usage patterns, including using shaders in a more profound way, and how to incorporate ThM....
Release Date 2018/03 -
Python for SAS Users: A SAS-Oriented Introduction to Python
Author Sarah Chen , Randy Betancourt
Business users familiar with Base SAS programming can now learn Python by example. You will learn via examples that map SAS programming constructs and coding patterns into their Python equivalents. Your primary focus will be on pandas and data management issues rel....
Release Date 2019/09 -
Author Harriet Dashnow , Stéfan van der Walt , Juan Nunez-Iglesias
Welcome to Scientific Python and its community. If you’re a scientist who programs with Python, this practical guide not only teaches you the fundamental parts of SciPy and libraries related to it, but also gives you a taste for beautiful, easy-to-read code that yo....
Release Date 2017/08 -
Generalized Linear and Nonlinear Models for Correlated Data: Theory and Applications Using SAS
Author Edward F. Vonesh
Edward F. Vonesh's Generalized Linear and Nonlinear Models for Correlated Data: Theory and Applications Using SAS is devoted to the analysis of correlated response data using SAS, with special emphasis on applications that require the use of generalized linear mode....
Release Date 2012/09 -
R in Action, Second Edition: Data analysis and graphics with R
Author Robert Kabacoff
SummaryR in Action, Second Edition presents both the R language and the examples that make it so useful for business developers. Focusing on practical solutions, the book offers a crash course in statistics and covers elegant methods for dealing with messy and incom....
Release Date 2015/05 -
Exercises and Projects for The Little SAS Book, Fifth Edition
Author Susan J. Slaughter , Lora D. Delwiche , Rebecca A. Ottesen
The best-selling Little SAS Book just got even better. Readers worldwide study this easy-to-follow book to help them learn the basics of SAS programming. Now Rebecca Ottesen has teamed up with the original authors, Lora Delwiche and Susan Slaughter, to provide a new....
Release Date 2015/07 -
Author Randall S. Collica
Use aggregate data to answer high-level business questions! Data miners, data scientists, analytic managers, and analysts who work in all industries will find the insights in Randy Collica's Strategic Analytics and SAS: Using Aggregate Data to Drive Organizational....
Release Date 2016/09