YoVDO

Statistical Rethinking 2022 - Overfitting

Offered By: Richard McElreath via YouTube

Tags

Overfitting Courses Statistical Modeling Courses Regularization Courses Cross-Validation Courses Importance Sampling Courses

Course Description

Overview

Explore the concept of overfitting in statistical modeling through this comprehensive lecture from the Statistical Rethinking 2022 series. Delve into problems of prediction, cross-validation techniques, and regularization methods. Learn about measuring prediction penalties, importance sampling, and information criteria. Examine the challenges of model mis-selection and understand how to handle outliers using robust regression. Gain valuable insights into advanced statistical concepts and their practical applications in data analysis and predictive modeling.

Syllabus

Introduction
Problems of prediction
Cross-validation
Regularization
Measuring prediction penalties
Importance sampling
Information criteria
Model mis-selection
Outliers and robust regression
Summary and outlook


Taught by

Richard McElreath

Related Courses

How to Win a Data Science Competition: Learn from Top Kagglers
Higher School of Economics via Coursera
Data Science: Machine Learning
Harvard University via edX
Visual Machine Learning with Yellowbrick
Coursera Project Network via Coursera
Regression Analysis with Yellowbrick
Coursera Project Network via Coursera
Support Vector Machines in Python, From Start to Finish
Coursera Project Network via Coursera