For humans and machines, intelligence requires making sense of the world — inferring simple explanations for the mishmosh of information coming in through our senses, discovering regularities and ...

What Is A Probabilistic Model? A probabilistic model is a statistical tool that accounts for randomness or uncertainty when predicting future events. Instead of giving a definitive answer, it ...

*Note: This course description is only applicable for the Computer Science Post-Baccalaureate program. Additionally, students must always refer to course syllabus for the most up to date information.

This course is part of a three-course sequence on statistical learning models, which also includes Predictive Analytics I and Predictive Analytics II. This course ...

To determine maximum aggregate component materiality levels, we first use the cumulative binomial distribution to derive the maximum number of components that can be allowed to simultaneously contain ...

Solve Real-World Problems With Applied Statistics. Applied Statistics is the implementation of statistical methods, techniques, and theories to real-world problems and situations in several fields, ...