Workshop
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 nyuad.statslab@nyu.edu 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
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 Data-Splitting Leave-One-Out Cross-Validation k-fold cross-validation Validation Using the Bootstrap Bootstrapping Ranks of Predictors Exercises |
"Research Scientist / Biostatistician"
Please note, registration is now closed.
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