Handbook of Big Data

ISBN-13: 9780367330736 / Angielski / Miękka / 2019 / 480 str.

Peter Buhlmann; Petros Drineas; Michael Kane

Opis

This handbook provides a state-of-the-art overview of the analysis of large-scale datasets. Featuring contributions from statistics and computer science experts in industry and academia, the text instills a working understanding of key statistical and computing ideas that can be readily applied in research and practice.

Spis treści

General Perspectives on Big Data. Data-Centric, Exploratory Methods. Efficient Algorithms. Graph Approaches. Model Fitting and Regularization. Ensemble Methods. Causal Inference. Targeted Learning.