The missing manual to becoming a successful data scientist--develop the skills to use key tools and the knowledge to thrive in the AI/ML landscape Key Features Learn from an AI patent-holding engineering manager with deep experience in Anaconda tools and OSS Get to grips with cr…
by Fay, Colin, Guyader, Vincent, Rochette, Sebastien, Cervan, Girard
fromR (Series)
"Presented in full color, Engineering Production-Grade Shiny Apps helps people build production-grade shiny applications, by providing advice, tools, and a methodology to work on web applications with R. This book starts with an overview of the challenges which arise from any bi…
"This book serves as an accessible introduction into how meta-analyses can be conducted in R. Essential steps for meta-analysis are covered, including pooling of outcome measures, forest plots, heterogeneity diagnostics, subgroup analyses, meta-regression, methods to control for…
"This book is a learning resource on inferential statistics and regression analysis. It teaches how to do a wide range of statistical analyses in both R and in Python, ranging from simple hypothesis testing to advanced multivariate modelling. Although it is primarily focused on …
"This book provides an overall introduction to R with a focus on tools and methods commonly used in Data Science, with an emphasis on practice and business use.The intention is to provide a practical guide for non-experts with a focus on business users. The author covers a wide …
"This book emphasizes the collaborative analysis of data that is used to collect increments of time or space. Written at a readily accessible level, but with the necessary theory in mind, the author uses frequency- and time-domain and trigonometric regression as themes throughou…
This book bridges the latest software applications with thebenefits of modern resampling techniques Resampling helps students understand the meaning of samplingdistributions, sampling variability, P-values, hypothesis tests, and confidence intervals. This groundbreaking book sho…
"This book provides both an elementary and a modern introduction to the bootstrap for students who do not have an extensive background in advanced mathematics. It offers reliable, hands-on coverage of the bootstrap's considerable advantages -- as well as its drawbacks. The book …
