Matematik- & statistikprogram
Filter
Learn the fundamentals of Bayesian modeling using state-of-the-art Python libraries, such as PyMC, ArviZ, Bambi, and more, guided by an experienced Bayesian modeler who contributes …
Leverage the full potential of SAS to get unique, actionable insights from your dataKey FeaturesBuild enterprise-class data solutions using SAS and become well-versed in SAS …
This book is intended for anyone who wants to learn how to efficiently analyze geospatial data with R, including GIS analysts, researchers, educators, and students who work with …
A practical guide to obtaining, transforming, exploring, and analyzing data using Python, MongoDB, and Apache Spark About This Book • Learn to use various data analysis tools and …
Over 100 hands-on recipes to effectively solve real-world data problems using the most popular R packages and techniques About This Book • Gain insight into how data scientists …
This practical cookbook covers a broad range of topics in an easy to understand manner. step by step instructions guide you through even the most complicated of tools in Minitab. …
Leverage AWS AI/ML managed services to generate value from your time series dataKey FeaturesSolve modern time series analysis problems such as forecasting and anomaly detectionGain …
Solve real-world statistical problems using the most popular R packages and techniquesKey FeaturesLearn how to apply statistical methods to your everyday research with handy …
Load, wrangle, and analyze your data using the world's most powerful statistical programming language About This Book • Load, manipulate and analyze data from different sources • …
If you are planning to create data analysis and visualization tools in the context of science, engineering, economics, or social science, then this book is for you. With this book, …