Gradient Descent

Introduction [TRZ]

Introduction to AI [TRZ]

Agents [TRZ]

Environment [TRZ]

Agents in AI [TRZ]

Environment in AI [TRZ]

Agents 1 [FYS]

Agents 2 [FYS]

Uninformed Search 1 [TRZ]

Uninformed Search 2 [TRZ]

Uninformed Search 1 [TRZ]

Uninformed Search 2 [TRZ]

Uninformed Search 1 [FYS]

Uninformed Search 2 [FYS]

Informed Search 1 [TRZ]

Informed Search 2 [TRZ]

Informed Search 1 [TRZ]

Informed Search 2 [TRZ]

Informed Search 1 [FYS]

Informed Search 2 [FYS]

Local Search [TRZ]

Local Search [TRZ]

Local Search [FYS]

CSP 1 [TRZ]

CSP 2 [TRZ]

CSP 1 [TRZ]

CSP 2 [TRZ]

CSP 1 [FYS]

CSP 2 [FYS]

Genetic Algorithm [TRZ]

Genetic Algorithm [TRZ]

Genetic Algorithm [FYS]

Games [TRZ]

Games [TRZ]

Probability Theory 1 [TRZ]

Probability Theory 2 [TRZ]

Probability Theory 1 [TRZ]

Probability Theory 2 [TRZ]

Probability Theory 1 [FYS]

Probability Theory

Probability Theory Part 2

Probability Theory Shortcuts

Naive Bayes 1 [TRZ]

Naive Bayes 2 [TRZ]

Naive Bayes 1 [TRZ]

Naive Bayes 2 [TRZ]

Naive Bayes [FYS]

Naive Bayes

Naive Bayes Classifier

Decision Tree 1 [TRZ]

Decision Tree 2 [TRZ]

Decision Tree 1 [TRZ]

Decision Tree 2 [TRZ]

Decision Tree 1 [FYS]

Decision Tree

Decision Tree (ID3 Algorithm)

Intro to ML

Linear Regression

Gradient Descent & Linear Regression

Logistic Regression & Neural Network Perceptrons

Neural Network

Neural Networks, Logistic Regression & Linear Regression

Final Exam Review

Lab: Neural Networks & Regression Classification

Project Tutorial: Classical ML Modeling