Information Maximizing NetworksExplores information maximizing networks, prioritizing data to maximize information flow and optimize routes for fuel efficiency.
Monte Carlo: Markov ChainsCovers unsupervised learning, dimensionality reduction, SVD, low-rank estimation, PCA, and Monte Carlo Markov Chains.
Bayesian Parameter EstimationCovers an example of Bayesian parameter estimation and the trade-off between bias and variance in supervised learning.
Optimal control applicationsCovers the application of optimal control in parameter identification and the trade-off between the model and measurements.
