JOURNAL ARTICLE

Statistical inference and machine learning for big data.

  • Published In: Biometrics, 2023, v. 79, n. 4. P. 4013 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Chen, Li‐Pang 3 of 3

Abstract

The book "Statistical Inference and Machine Learning for Big Data" provides an introduction to the relationship between big data and statistical analysis. It covers various types of big data from different fields and discusses statistical tools and advanced methods for analyzing specific data structures. The book also explores machine learning methods, including linear regression models, classification models, neural networks, and text analytics. Additionally, it delves into computational methods in statistical analysis, with a focus on Bayesian approaches. Overall, this book is a suitable reference for readers with basic knowledge of statistics, including senior undergraduate students. [Extracted from the article]

Additional Information

  • Source:Biometrics. 2023/12, Vol. 79, Issue 4, p4013
  • Document Type:Article
  • Subject Area:Engineering
  • Publication Date:2023
  • ISSN:0006-341X
  • DOI:10.1111/biom.13883
  • Accession Number:174345173
  • Copyright Statement:Copyright of Biometrics is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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