Ulrich Langer & Marco Discacciati 
Domain Decomposition Methods in Science and Engineering XVII [PDF ebook] 

Document from the year 2020 in the subject Mathematics – Statistics, , course: Economics, Statistic For Business, language: Albanian, abstract: Në përdorim të zakonshëm, njerëzit mendojnë për statist …

An essential guide for tackling outliers and anomalies in machine learning and data science. In recent years, machine learning (ML) has transformed virtually every area of research and technology, be …

Unlock the power of data storytelling to create change Become a Great Data Storyteller: Learn How You Can Drive Change with Data is a transformational journey guided by author and researcher Angelica …

The human mind is endowed with a remarkable capacity for creative synthesis between intuition and reason; this mental alchemy is the source of genius. A new synergy is emerging between human ingenuit …

CLEAR AND CONCISE TECHNIQUES FOR USING ANALYTICS TO DELIVER BUSINESS IMPACT AT ANY ORGANIZATION Organizations have more data at their fingertips than ever, and their ability to put that data to produ …

Many scientific, medical or engineering problems raise the issue of recovering some physical quantities from indirect measurements; for instance, detecting or quantifying flaws or cracks within a mat …

A comprehensive introduction to a wide variety of univariate and multivariate smoothing techniques for regression Smoothing and Regression: Approaches, Computation, and Application bridges the many g …

‘…a very useful resource for courses in nonparametric statistics in which the emphasis is on applications rather than on theory. It also deserves a place in libraries of all institutions where intr …

A modern approach to statistical learning and its applications through visualization methods With a unique and innovative presentation, Multivariate Nonparametric Regression and Visualization provide …

Probabilistic Design for Optimization and Robustness:

• Presents the theory of modeling with variation using physical models and methods for practical applications on designs more insensitive …