DSPA Chapter 15 Specialized ML Techniques
From Tina Chang on July 17th, 2017
In this chapter, we will discuss some technical details about data formats, streaming, optimization of computation, and distributed deployment of optimized learning algorithms. Chapter 21 provides additional optimization details.
We will present (1) format conversion and working with XML, SQL, JSON, CSV, SAS and other data objects, (2) visualization of bioinformatics and network data, (3) protocols for managing, classifying and predicting outcomes from data streams, (4) strategies for optimization, improvement of computational performance, parallel (MPI) and graphics (GPU) computing, and (5) processing of very large datasets.