Probably too niche #HMM #statistics #bayesian #hiddenmarkovmodel
Probably too niche #HMM #statistics #bayesian #hiddenmarkovmodel
Magdalini Zonnios told me about basic #math behind the complexity of computational mechanics on the level of stochastic processes. Optimising the #entropy of an finite state machine ansatz allows to find a minimal model to account for certain processes and get more clarity e.g. in a time series.
Today's #ise2023 lecture was focusing on Naive Bayes Classification, POS Tagging, and distributional semantics with Word Embeddings
https://drive.google.com/drive/folders/11Z3_UGQjGONyHyZbj_kIdgT-LglZH4Ob
#nlp #lecture #classification #wordembeddings #languagemodels #word2vec #hiddenMarkovModel #distributionalsemantics @fizise @KIT_Karlsruhe #stablediffusionart #creativeAI