Bibliograph

Handbook of big data, edited by Peter Bühlmann, Petros Drineas, Michael Kane, Mark van der Laan

Type

Label

Handbook of big data, edited by Peter Bühlmann, Petros Drineas, Michael Kane, Mark van der Laan

Language

eng

Bibliography note

Includes bibliographical references

Illustrations

illustrations

Index

no index present

Literary Form

non fiction

Main title

Handbook of big data

Nature of contents

handbooksbibliographydictionaries

Oclc number

939597365

Responsibility statement

edited by Peter Bühlmann, Petros Drineas, Michael Kane, Mark van der Laan

Series statement

Chapman & Hall/CRC handbooks of modern statistical methods

Summary

"Handbook of Big Data provides a state-of-the-art overview of the analysis of large-scale datasets. Featuring contributions from well-known experts in statistics and computer science, this handbook presents a carefully curated collection of techniques from both industry and academia. Thus, the text instills a working understanding of key statistical and computing ideas that can be readily applied in research and practice"--, Provided by publisher

Table Of Contents

I. General perspectives on big data -- II. Data-centric, exploratory methods -- III. Efficient algorithms -- IV. Graph approaches -- V. Model fitting and regularization -- VI. Ensemble methods -- VII. Causal inference -- VIII. Targeted learning

Classification