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.