ABSTRACT
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
TABLE OF CONTENTS
part I|2 pages
General Perspectives on Big Data
part II|2 pages
Data-Centric, Exploratory Methods
part III|2 pages
Efficient Algorithms
part IV|2 pages
Graph Approaches
part V|2 pages
Model Fitting and Regularization
part VI|2 pages
Ensemble Methods
part VII|2 pages
Causal Inference
part VIII|2 pages
Targeted Learning