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