Discover how graph algorithms can help you leverage the relationships within your data to develop more intelligent solutions and enhance your machine learning models.
When it comes to business intelligence and analytical capabilities, SAS Visual Analytics is the premier solution for data discovery, visualization, and reporting.
In recent years portfolio optimization and construction methodologies have become an increasingly critical ingredient of asset and fund management, while at the same time portfolio risk assessment has become an essential ingredient in risk management, and this trend will only accelerate in the coming years.
For the geek who's an investor, and the investor who's a geek, we present Online Investing Hacks, 100 industrial-strength, bleeding edge tips, tools and techniques for analyzing and managing online portfolios.
* Designed for use by novice computer users, this text begins with the basics, such as starting SPSS, defining variables, and entering and saving data.
Become a stats superstar by using Excel to reveal the powerful secrets of statistics Microsoft Excel offers numerous possibilities for statistical analysis and you don t have to be a math wizard to unlock them.
Often considered more of an art than a science, books on clustering have been dominated by learning through example with techniques chosen almost through trial and error.
Hands-on Machine Learning with R provides a practical and applied approach to learning and developing intuition into today's most popular machine learning methods.
Statistiques sociales avec IBM SPSSMD est un cahier d’exercices conçu pour accompagner le manuel de William Fox, Statistiques sociales, publié aux Presses de l’Université Laval (Québec) et chez De Boeck (Bruxelles).
Now in its second edition, R by Example is an example-based introduction to the statistical computing environment that does not assume any previous familiarity with R or other software packages.
The second edition of a bestselling textbook, Using R for Introductory Statistics guides students through the basics of R, helping them overcome the sometimes steep learning curve.
All the Tools for Gathering and Analyzing Data and Presenting ResultsReproducible Research with R and RStudio, Second Edition brings together the skills and tools needed for doing and presenting computational research.
A comprehensive guide to automated statistical data cleaning The production of clean data is a complex and time-consuming process that requires both technical know-how and statistical expertise.
This book of peer-reviewed short papers on methodological and applied statistics and demography is the fourth of four volumes from the 52nd Scientific Meeting of the Italian Statistical Society (SIS 2024), held in Bari, Italy, on June 17-20, 2024.
Spatial predictive modeling (SPM) is an emerging discipline in applied sciences, playing a key role in the generation of spatial predictions in various disciplines.
This book is written for statisticians, data analysts, programmers, researchers, professionals, and general consumers on how to perform different types of statistical data analysis for research purposes using R object-oriented programming language and RStudio integrated development environment (IDE).
This book includes high-quality papers presented at 18th International Conference on Information Technology and Applications (ICITA 2024), held in Sydney, Australia, during October 17-19, 2024.
In biostatistical research and courses, practitioners and students often lack a thorough understanding of how to apply statistical methods to synthesize biomedical and clinical trial data.
Review of the First Edition:The authors strive to reduce theory to a minimum, which makes it a self-learning text that is comprehensible for biologists, physicians, etc.
