Introduction to Statistical Machine Learning – I: with applications in R/RStudio


WHEN June 7, 2023
11 AM - 12 PM WHERE Zoom Webinar WHO Statistical Consulting Laboratory (StatsLab) Open to the Public

This course gives an overview of some of the most well-known statistical machine-learning concepts, techniques, and algorithms. The course is aimed at students and researchers who already have some knowledge of statistics and probability theory and have used the statistical software R/RStudio. An introductory course to Statistical Software R and RStudio can be found here.

Email for more details.

When we raise money it’s artificial intelligence, when we hire it’s machine learning, and when we do the work it’s logistic regression

Juan Miguel Lavista Ferres

Course Contents

The course will be held over four (4) consecutive Wednesdays, and attendance is required for all sessions.

Topics Covered
An Overview of Classification & Prediction
Misunderstandings about Prediction versus Classification
Binary Logistic Regression Model
Describing the Fitted Statistical Model
Indexes of Model Performance
The Bootstrap
Model Validation
Quantities to be validated
Leave-One-Out Cross-Validation
k-fold cross-validation
Validation Using the Bootstrap
Bootstrapping Ranks of Predictors

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