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Description

Session ID: 11201

Abstract: This paper serves to provide a high-level overview of the various analytics algorithms and their benefit to address machine learning towards different types of analytical scenarios. The various algorithms will be compared and contrasted while showcasing the ability to derive meaningful output into reporting and visualization tools.

Objective 1: Provide high-level architectural requirements to process analytical data

Objective 2: Provide linear, multi-linear and logistic regression methods

Objective 3: Showcase analysis of time series data

Objective 4: Differentiate non-parametric, pattern recognition and bayesian classification

Objective 5: Showcase reporting and visualization outputs

Audience: Management

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