This course will start from the classical statistical methodology of linear regression and then build on this framework to provide an introduction to machine learning and data mining methods from a ...

Guttag Introduction to Computation and Programming using Python (Second Edition, The MIT Press, 2017) James et al An Introduction to Statistical Learning: With applications in R (Springer, 2013) N.

Introduction to Probability and Statistics for Data Science provides a solid course in the fundamental concepts, methods and theory of statistics for students in statistics, data science, ...

Predictive modeling of data using modern regression and classification methods. Multiple linear regression; logistic regression; pitfalls and diagnostics; nonparametric and nonlinear regression and ...

On watching this video students should be able to: List different types of observational study. Discuss the hierarchy of evidence tool. Explain why an observational study can generally only be used to ...

The Statistical & Data Sciences (SDS) Program links faculty and students from across the college interested in learning things from data. At Smith, students learn statistics by doing—class time ...

It is important that you know the difference between these options and choose a statistical test that is most suitable for your data. This video explains how to use the SPSS chart editor to adjust the ...

Applied statistics and statistical learning (ASSL) is the process of using data relationships and computer models to drive business value, improve decision-making, and understand human relationships.

*ENGR 16100 Honors Introduction to Innovation and the Physical Science of Engineering Design I (Both ENGR 16100 AND 16200 are required to meet the IL requirement) *ENGR 16200 Honors Introduction to ...

Download Introduction to Art: Design, Context ... we are committed to fostering a welcoming atmosphere where individuals feel empowered to freely express themselves and engage in exploration and ...