This text provides a modern introduction to regression and classification with an emphasis on big data and R. The main body uses math stat sparingly and always in the context of something concrete; readers can skip the math stat content entirely if they wish.
August 2017, ca. 532 Seiten, Chapman & Hall/CRC Texts in Statistical Science, Englisch
Taylor and Francis
978-1-4987-1091-6
Taylor and Francis
978-1-4987-1091-6
This text provides a modern introduction to regression and classification with an emphasis on big data and R. The main body uses math stat sparingly and always in the context of something concrete; readers can skip the math stat content entirely if they wish.
August 2017, ca. 532 Seiten, Chapman & Hall/CRC Texts in Statistical Science, Englisch
Taylor and Francis
978-1-4987-1091-6
Taylor and Francis
978-1-4987-1091-6
Weitere Titel der Reihe: Chapman & Hall/CRC Texts in Statistical Science
Alle anzeigenBayes, AI, and Deep Learning
Foundations of Data Science
Taylor and Francis, 2026
978-1-032-47122-8
ca. 295.00 CHF
erscheint im Dezember
Bayes, AI, and Deep Learning
Foundations of Data Science
Taylor and Francis, 2026
978-1-032-46798-6
ca. 115.00 CHF
erscheint im Dezember
Foundations of Statistics for Data Scientists
With R and Python
Taylor and Francis, 2021
978-0-367-74845-6
ca. 156.00 CHF
lieferbar in ca. 10-20 Arbeitstagen
Bayesian Statistical Methods
Taylor and Francis, 2021
978-1-03-209318-5
ca. 76.00 CHF
lieferbar in ca. 10-20 Arbeitstagen
Introduction to Functional Data Analysis
Taylor and Francis, 2021
978-1-03-209659-9
ca. 90.00 CHF
lieferbar in ca. 10-20 Arbeitstagen
Modern Data Science with R
Taylor and Francis, 2021
978-0-367-19149-8
ca. 156.00 CHF
lieferbar in ca. 10-20 Arbeitstagen
Statistics for Finance
Taylor and Francis, 2020
978-0-367-73837-2
ca. 90.00 CHF
lieferbar in ca. 10-20 Arbeitstagen
Bayesian Statistical Methods
Taylor and Francis, 2019
978-0-8153-7864-8
ca. 156.00 CHF
lieferbar in ca. 10-20 Arbeitstagen
Statistical Regression and Classification
From Linear Models to Machine Learning
Taylor and Francis, 2017
978-1-138-06646-5
ca. 296.00 CHF
lieferbar in ca. 10-20 Arbeitstagen
Generalized Additive Models
An Introduction with R, Second Edition
Taylor and Francis, 2017
978-1-4987-2833-1
169.00 CHF
sofort lieferbar
Modeling and Analysis of Stochastic Systems
Taylor and Francis, 2016
978-1-4987-5661-7
ca. 236.00 CHF
lieferbar in ca. 10-20 Arbeitstagen
Mathematical Statistics
Basic Ideas and Selected Topics, Volumes I-II Package
Taylor and Francis, 2015
978-1-4987-4031-9
ca. 226.00 CHF
lieferbar in ca. 10-20 Arbeitstagen
Weitere Titel zum Thema
Data Analytics for Strategic Decisions
Fundamentals of Business Technology and AI Integration
Taylor and Francis, 2027
978-1-041-39589-8
ca. 269.00 CHF
erscheint im Januar
New Machine Learning Methods for the Sustainable Development Goals
Taylor and Francis, 2027
978-1-032-99568-7
ca. 189.00 CHF
erscheint im Januar
Air Transportation Industry
History and Developments
Taylor and Francis, 2026
978-1-032-56904-8
ca. 96.00 CHF
lieferbar in ca. 10-20 Arbeitstagen
Financial Mathematics In Theory And Practice: Essays In Honour Of Rudi Zagst On ...
World Scientific Publishing, 2026
978-981-9834-09-9
ca. 219.00 CHF
erscheint im Oktober
Penalized Estimation of High Dimensional Models
Taylor and Francis, 2026
978-1-032-60882-2
ca. 169.00 CHF
erscheint im Dezember
Bayes, AI, and Deep Learning
Foundations of Data Science
Taylor and Francis, 2026
978-1-032-46798-6
ca. 115.00 CHF
erscheint im Dezember
Handbook of Disruptive Technologies
Operations, Business, Management, and Healthcare
Taylor and Francis, 2026
978-1-032-70094-6
ca. 96.00 CHF
lieferbar in ca. 10-20 Arbeitstagen
Dynamic Programming for Economists
From Basic Growth Models to Computational Methods
Taylor and Francis, 2026
978-1-041-30339-8
ca. 86.00 CHF
lieferbar in ca. 10-20 Arbeitstagen
Bayesian Entrepreneurship
MIT Press, 2026
978-0-262-05215-3
ca. 186.00 CHF
lieferbar in ca. 20-45 Arbeitstagen
Data Analytics for Strategic Decisions
Fundamentals of Business Technology and AI Integration
Taylor and Francis, 2027
978-1-041-38707-7
ca. 75.00 CHF
erscheint im Januar
Bayes, AI, and Deep Learning
Foundations of Data Science
Taylor and Francis, 2026
978-1-032-47122-8
ca. 295.00 CHF
erscheint im Dezember
Classical Machine Learning
A Practical Guide Using Python
Springer International Publishing, 2026
978-3-032-04398-6
104.00 CHF
sofort lieferbar

