Statistical Learning of Complex Data Book [PDF] Download

Download the fantastic book titled Statistical Learning of Complex Data written by Francesca Greselin, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Statistical Learning of Complex Data", which was released on 06 September 2019. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Mathematics genre.

Summary of Statistical Learning of Complex Data by Francesca Greselin PDF

This book of peer-reviewed contributions presents the latest findings in classification, statistical learning, data analysis and related areas, including supervised and unsupervised classification, clustering, statistical analysis of mixed-type data, big data analysis, statistical modeling, graphical models and social networks. It covers both methodological aspects as well as applications to a wide range of fields such as economics, architecture, medicine, data management, consumer behavior and the gender gap. In addition, it describes the basic features of the software behind the data analysis results, and provides links to the corresponding codes and data sets where necessary. This book is intended for researchers and practitioners who are interested in the latest developments and applications in the field of data analysis and classification. It gathers selected and peer-reviewed contributions presented at the 11th Scientific Meeting of the Classification and Data Analysis Group of the Italian Statistical Society (CLADAG 2017), held in Milan, Italy, on September 13–15, 2017.


Detail About Statistical Learning of Complex Data PDF

  • Author : Francesca Greselin
  • Publisher : Springer Nature
  • Genre : Mathematics
  • Total Pages : 201 pages
  • ISBN : 3030211401
  • PDF File Size : 50,7 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

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Statistical Learning of Complex Data

Statistical Learning of Complex Data
  • Publisher : Springer Nature
  • File Size : 34,8 Mb
  • Release Date : 06 September 2019
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This book of peer-reviewed contributions presents the latest findings in classification, statistical learning, data analysis and related areas, including supervised and unsupervised classification, clustering, statistical analysis of mixed-type data, big

Statistical Learning and Data Science

Statistical Learning and Data Science
  • Publisher : CRC Press
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  • Release Date : 19 December 2011
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Data analysis is changing fast. Driven by a vast range of application domains and affordable tools, machine learning has become mainstream. Unsupervised data analysis, including cluster analysis, factor analysis, and

Big and Complex Data Analysis

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  • File Size : 24,9 Mb
  • Release Date : 21 March 2017
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This volume conveys some of the surprises, puzzles and success stories in high-dimensional and complex data analysis and related fields. Its peer-reviewed contributions showcase recent advances in variable selection, estimation

An Introduction to Statistical Learning

An Introduction to Statistical Learning
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An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have

An Introduction to Statistical Learning

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  • Publisher : Springer Nature
  • File Size : 45,9 Mb
  • Release Date : 01 August 2023
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An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have

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This book presents the Statistical Learning Theory in a detailed and easy to understand way, by using practical examples, algorithms and source codes. It can be used as a textbook

Classification, (big) Data Analysis and Statistical Learning

Classification, (big) Data Analysis and Statistical Learning
  • Publisher : Unknown Publisher
  • File Size : 39,8 Mb
  • Release Date : 13 June 2024
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This edited book focuses on the latest developments in classification, statistical learning, data analysis and related areas of data science, including statistical analysis of large datasets, big data analytics, time

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Targeted Learning in Data Science
  • Publisher : Springer
  • File Size : 35,8 Mb
  • Release Date : 28 March 2018
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This textbook for graduate students in statistics, data science, and public health deals with the practical challenges that come with big, complex, and dynamic data. It presents a scientific roadmap

Statistical Learning and Data Science

Statistical Learning and Data Science
  • Publisher : Chapman and Hall/CRC
  • File Size : 38,5 Mb
  • Release Date : 19 December 2011
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Data analysis is changing fast. Driven by a vast range of application domains and affordable tools, machine learning has become mainstream. Unsupervised data analysis, including cluster analysis, factor analysis, and

Analysis of Large and Complex Data

Analysis of Large and Complex Data
  • Publisher : Springer
  • File Size : 26,9 Mb
  • Release Date : 03 August 2016
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This book offers a snapshot of the state-of-the-art in classification at the interface between statistics, computer science and application fields. The contributions span a broad spectrum, from theoretical developments to