Spreadsheets are still useful, but if you do a lot of work with numbers, you'll realize that they have limitations.

The pharmaceutical industry thrives on precision and an unwavering commitment to patient outcomes. In this dynamic landscape, leadership in statistical programming extends beyond managing data or ...

Interoperability difficulties resulting from discrepancies in preferred programming languages can be resolved via statistical computing environments. In the biomedical and pharmaceutical industries, ...

The life sciences industry is witnessing a fundamental shift-one that is driven not just by data, but by intelligent automation. Having spent over 17 years working at the intersection of clinical ...

You might not have ever heard of the programming language R but, if you’re doing data analysis, it might be just the language you need. And this particular book on R is one that is likely to teach you ...

Statistical programming language R has climbed back up to 8th place in Tiobe's latest programming language popularity index, just behind JavaScript and up from 20th position last July. In May, when R ...

Introduction -- Why use R for your statistical work? -- Whom is this book for? -- My own background -- Getting started -- How to run R -- A first R session -- Introduction to functions -- Preview of ...

The main aim of the present work is to establish connections between the theory of dynamic programming and the statistical decision theory. The paper deals with a nonMarkovian dynamic programming ...

Domino Data Lab, provider of the leading Enterprise AI Platform trusted by the world’s largest AI-driven enterprises, today announced Domino SCE QC, a new capability that brings automation, ...

If you're a data scientist and need to analyze loads of CSV files for insights into, say, stock-price and market movements, the Julia programming language trumps machine-learning rivals Python and R, ...