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ME4853 - Machine Learning Methods for Mechanical Engineering

Instructors: Prof. Yan Wang and Prof. Surya Kalidindi

Topics
  • Regression & regularization
  • Artificial neural networks
  • Convolutional neural networks
  • Uncertainty and probabilistic reasoning
  • Bayesian belief network
  • Gaussian process & active learning
  • Markov chain & hidden Markov model
  • Unsupervised learning
  • Reinforcement Learning
  • Labs
  • Python basics
  • Python numerical libraries
  • Regression
  • Artificial neural network
  • Artificial neural network
  • Convolutional neural network
  • Project 1 Q & A
  • Gaussian process
  • Principal component analysis
  • Clustering
  • Project 2 Q & A