Statistical Regression and Classification Statistical Regression and Classification
Chapman & Hall/CRC Texts in Statistical Science

Statistical Regression and Classification

From Linear Models to Machine Learning

    • 92,99 €
    • 92,99 €

Descrição da editora

This text provides a modern introduction to regression and classification with an emphasis on big data and R. Each chapter is partitioned into a main body section and an extras section. The main body uses math stat very sparingly and always in the context of something concrete, which means that readers can skip the math stat content entirely if they wish. The extras section is for those who feel comfortable with analysis using math stat.

GÉNERO
Ciência e natureza
LANÇADO
2017
19 de setembro
IDIOMA
EN
Inglês
PÁGINAS
528
EDITORA
CRC Press
TAMANHO
23,2
MB
The Art of R Programming The Art of R Programming
2011
Parallel Computing for Data Science Parallel Computing for Data Science
2015
The Art of Machine Learning The Art of Machine Learning
2024
Probability and Statistics for Data Science Probability and Statistics for Data Science
2019
The Art of Debugging with GDB, DDD, and Eclipse The Art of Debugging with GDB, DDD, and Eclipse
2008
Experimental Design for Data Science and Engineering Experimental Design for Data Science and Engineering
2026
Foundations of Bayesian Statistics for Data Scientists Foundations of Bayesian Statistics for Data Scientists
2026
A Course in Regression and Smoothing Methods A Course in Regression and Smoothing Methods
2026
Survival Analysis Survival Analysis
2026
Time Series Time Series
2026
Statistics in Survey Sampling Statistics in Survey Sampling
2025