Название: The Shape of dаta: Geometry-Based Machine Learning and Data Analysis in R
Автор: Colleen M. Farrelly, Yae Ulrich Gaba
Издательство: No Starch Press
Год: 2023
Страниц: 264
Язык: английский
Формат: epub (true), mobi
Размер: 11.8 MB
Whether you’re a mathematician, seasoned data scientist, or marketing professional, you’ll find The Shape of Data to be the perfect introduction to the critical interplay between the geometry of data structures and Machine Learning. This book’s extensive collection of case studies (drawn from medicine, education, sociology, linguistics, and more) and gentle explanations of the math behind dozens of algorithms provide a comprehensive yet accessible look at how geometry shapes the algorithms that drive data analysis. Throughout the book’s mathematical data analytics tour, we encounter the origin of data analysis on structured data and the many seemingly unstructured data scenarios that can be turned into structured data, which enables standard machine learning algorithms to perform predictive and prescriptive analytical insights. As we ride through the valleys and peaks of our data, we learn to collect features along the way that become key inputs into other data layers, forming geometrical interpretations of varying unstructured data sources including network data, images, and text-based data. In addition, Farrelly and Gaba are masterful in detailing the foundational and advanced concepts supported by the well-defined examples in both R and Python, available for download from their book’s web page.
