All of Regression
Book Details
Format
Hardback or Cased Book
ISBN-10
1009702815
ISBN-13
9781009702812
Publisher
Cambridge University Press
Imprint
Cambridge University Press
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Jun 4th, 2026
Print length
220 Pages
Weight
548 grams
Dimensions
25.10 x 18.00 x 1.90 cms
Product Classification:
Probability & statisticsProbability and statisticsMachine learningPattern recognition
Ksh 9,400.00
Manufactured on Demand
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This concise modern introduction to regression covers a wide range of topics and contemporary applications, including high-dimensional regression and causal inference, with concision and clarity. Suitable for advanced undergraduate and beginning graduate students, it will also appeal to researchers and practitioners in machine learning and AI.
This comprehensive modern look at regression covers a wide range of topics and relevant contemporary applications, going well beyond the topics covered in most introductory books. With concision and clarity, the authors present linear regression, nonparametric regression, classification, logistic and Poisson regression, high-dimensional regression, quantile regression, conformal prediction and causal inference. There are also brief introductions to neural nets, deep learning, random effects, survival analysis, graphical models and time series. Suitable for advanced undergraduate and beginning graduate students, the book will also serve as a useful reference for researchers and practitioners in data science, machine learning, and artificial intelligence who want to understand modern methods for data analysis.
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