Tom Viering AI

Predicting the number of sales with regression
Predicting the number of sales with regression
Outliers in regression
Outliers in regression
The biggest challenge with machine learning & frameworks
The biggest challenge with machine learning & frameworks
Regression: MSE versus MAE
Regression: MSE versus MAE
What if y is nonlinear? KNN Regression
What if y is nonlinear? KNN Regression
Classification Terminology & Basics
Classification Terminology & Basics
Machine learning basics and terminology
Machine learning basics and terminology
What is a “good” regression model? MSE, MAE
What is a “good” regression model? MSE, MAE
Why use machine learning?
Why use machine learning?
Three variants of Gradient Descent
Three variants of Gradient Descent
Why do we need Logistic regression?
Why do we need Logistic regression?
What is a “good” accuracy?
What is a “good” accuracy?
Basics of SVMs, Hard-Margin SVM – Part 2
Basics of SVMs, Hard-Margin SVM – Part 2
How to use Gradient Descent in practice?
How to use Gradient Descent in practice?
How flexible? Bias variance decomposition, underfitting, overfitting
How flexible? Bias variance decomposition, underfitting, overfitting
How to use linear models for nonlinear tasks?
How to use linear models for nonlinear tasks?
Building a “simple” classifier using nearest neighbours
Building a “simple” classifier using nearest neighbours
Basics of Logistic Regression
Basics of Logistic Regression
Complexity curves, feature curves, how to tune complexity?
Complexity curves, feature curves, how to tune complexity?
How to use the KNN classifier in practice?
How to use the KNN classifier in practice?
Cross-validation AND hyperparameter tuning / model selection
Cross-validation AND hyperparameter tuning / model selection
Confusion matrix
Confusion matrix
Basics of SVMs, Hard-Margin SVM – Part 1
Basics of SVMs, Hard-Margin SVM – Part 1
Learning curve: how much data do we need?
Learning curve: how much data do we need?
The basics of Gradient Descent – Part 2
The basics of Gradient Descent – Part 2
Cross-validation
Cross-validation
Soft-Margin SVM
Soft-Margin SVM
The basics of Gradient Descent – Part 4
The basics of Gradient Descent – Part 4
Building a “simple” classifier using nearest means
Building a “simple” classifier using nearest means
The basics of Gradient Descent – Part 1
The basics of Gradient Descent – Part 1