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Related lectures (29)
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Density Matrix: Quantum States
Covers the concept of density matrix for quantum states and its properties.
Fitting and Clustering Data with Mixture of Gauss Functions
Covers Mixture of Gauss Functions, Gaussian Mixture Modeling, and hyper-parameter optimization.
Elliptical Distributions: Properties and Applications
Covers elliptical distributions, including properties, applications, and risk management implications.
Bayesian Networks: Fundamentals and Applications
Covers the fundamentals of Bayesian Networks and their applications in probabilistic topic modeling.
Document Analysis and Topic Modeling
Covers document analysis, topic modeling, and deep generative models, including autoencoders and GANs.
Mixture models: individual level parameters
Explores mixture models and individual-level parameters in discrete choice scenarios, covering distribution, Bayes theorem, and expected values.
Neurobiological Signal Processing
Explores neurobiological signal processing, covering spike modeling, signal classification, and data characterization using principal component analysis.
Multivariate Distributions: Spherical and Elliptical
Explores spherical and elliptical distributions, normal variance mixtures, factor models, and principal component analysis.
Document Analysis: Topic Modeling
Explores document analysis, topic modeling, and generative models for data generation in machine learning.
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