IBM and Red Hat — the next chapter of open innovation. Learn more ›
by Alex Guazzelli | Published July 9, 2012
This is a four-part series on predictive analytics. Part 1 gives a general overview of predictive analytics. Part 2 focuses on predictive modeling techniques, which are the mathematical algorithms that make up the core of predictive analytics. Part 3 puts these techniques to use and describes the making of a predictive solution. Finally, Part 4 focuses on the deployment of predictive analytics, the process of putting predictive solutions to work.
Examine a general overview of predictive analytics featuring the de facto standard for predictive analytics, PMML.
Discover predictive modeling techniques, the mathematical algorithms that make up the core of predictive analytics.
Employ predictive modeling techniques and learn to construct a predictive analytics solution.
Part four of a four-part series on the important aspects of predictive analytics: Learn about the deployment of predictive analytics,…
June 27, 2019
AnalyticsIBM SPSS Statistics+
July 28, 2019
Adversarial Robustness ToolboxAI Fairness 360+
September 20, 2019
Back to top