Skip to main content

Ctrl+K

Getting ready

Course Information

Lectures

Lecture 1: Markov Models
Lecture 2: Applications of Markov Models and Text Preprocessing
Lecture 3: Introduction to Hidden Markov Models (HMMs)
Lecture 4: Decoding and Learning in HMMs
Lecture 5: Topic Modeling
Lecture 6: Introduction to Recurrent Neural Networks (RNNs)
Lecture 7: Introduction to self-attention and transformers
Lecture 8: More transformers

Class demos

Class Demo: Recipe generator

Appendices

PageRank as a Markov model
HMM supervised POS tagging
Baum-Welch (BW) algorithm
LDA details
AppendixD: More RNNs, LSTMs

Attribution

Attributions

Search

Ctrl+K

By Varada Kolhatkar

© Copyright 2022.