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AI in Architectural Engineering

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Probability & Statistics

Sampling Techniques

Sampling Techniques

Uncertainty quantification

Uncertainty Quantification

Supervised Learning

Regression methods

Multinomial Logistic Regression

Decision Trees

Decision Trees

Naive Bayes Classifiers

Support Vector Machines

Support Vector Machines

K-nearest neighbors

K-nearest Classification with Multiple Labels

Neural Networks

Unsupervised Learning

Gaussian mixtures

Gaussian mixtures

Clustering

Generative Models

Reinforcement Learning

Markov Decision Process

Introduction to Markov Decision Processes (MDPs)

Q-learning

Q-learning

Policy Iteration

Solving MDPs using Policy iteration

Value iteration

Solving MDPs using Value iteration

Other

Connect to Grasshopper

Grasshopper to CSV using a Support Vector Machines example

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