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Deep Learning   uses neural networks. Neural networks attempt to imitate how the human brain works.

Support Vector Machines (SVMs)   are “supervised” learning models with appropriate learning algorithms.

Probabilistic Models  Typically attempt to predict the best response by creating a model with a probability distribution.

Ensemble Learning   Algorithms act to combine the outputs from different Predictive Analytics models, and produce a “single” output.

eCommerce Applications   Machine Learning algorithms are transforming major portions of the economy, altering how everything from online product marketing to customized search engines, and from self-driving cars to advanced medical imaging.

Predicting “Market Right” Pricing   Prior to price-oriented algorithms, online sellers competed with one another by slashing prices and minimizing profits.
Improved Customer Segmentation   Customer segmentation slots people into categories based on the patterns of their behavior.
 
Trend Forecasting and Analytics   There is also an algorithm designed for analyzing and forecasting trends for online retailers.
 
Fraud Detection and Prevention   The amount of Internet payment fraud is increasing constantly, and, for the moment, seems to be unstoppable.
 
Data Management Applications
Increasingly large amounts of data are collected, with the hopes of processing it into useful information.
 
Master Data Management (MDM) is a big picture, overview system.
 
Artificial Intelligence in Practice  Machine Learning can be used to teach robots real-world skills, and AI to make the best choice, through the use of algorithms and practice.