Overview Curated list highlights seven impactful books covering fundamentals, tools, machine learning, visualization, and ...

This is an introductory course in statistics. Topics that we will cover include elementary statistical measures, statistical distributions, statistical inference, hypothesis testing and linear ...

*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.

The minor in Machine Learning and Data Science consists of 8 courses: 1 course in Programming Foundations 1 course in Statistics Foundations 4 specialization courses focused in Machine Learning, Data ...

Our friends over at Noah Data have written a research style paper, Introduction to Statistical Analysis and Outlier Detection Methods, that discusses how statistical data can generally be classified ...