Abstract
This chapter presents some technical details about data formats, streaming, optimization of computation, and distributed deployment of optimized learning algorithms. Chapter 22 provides additional optimization details. We show format conversion and working with XML, SQL, JSON, 15 CSV, SAS and other data objects. In addition, we illustrate SQL server queries, describe protocols for managing, classifying and predicting outcomes from data streams, and demonstrate strategies for optimization, improvement of computational performance, parallel (MPI) and graphics (GPU) computing.
Cite
CITATION STYLE
Dinov, I. D. (2018). Specialized Machine Learning Topics. In Data Science and Predictive Analytics (pp. 513–556). Springer International Publishing. https://doi.org/10.1007/978-3-319-72347-1_16
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