Media Summary: Residual Networks, DenseNet, Recurrent Neural Networks. Slides and materials on the course website: ... A quick recap and Q & A on some of the main points of the second half of the course. Professor Jann Spiess shares the secret sauce of
Applied Machine Learning 2019 Lecture - Detailed Analysis & Overview
Residual Networks, DenseNet, Recurrent Neural Networks. Slides and materials on the course website: ... A quick recap and Q & A on some of the main points of the second half of the course. Professor Jann Spiess shares the secret sauce of Professor Jann Spiess presents an introduction to Time series formats and tasks Stationarity Seasonal Models Autoregressive models More materials and slides on the course ... Feature importance measures, partial dependence plots. Univariate and multivariate feature selection, recursive feature selection.
Text data, bag of words, n-grams, tfidf, stop words, text classification. More information on the class website: ... Latent Semantic Analysis, Non-negative Matrix Factorization for Topic models, Latent Dirichlet Allocation Markov Chain Monte ...
