See the course D2L page for a complete class schedule.

Class Preparation

To prepare for each unit, complete the readings and activities noted in the table below.

Unit	Topic	Readings & Resources
Configuring your development environment	Using Virtualbox to install a Linux VM version control with Git and GitHub Linux command line basics Containers with Docker Jupyter	Unit tutorials
NLP Intro	Syllabus, class overview, etc. Intro to ... tokenization normalization POS Tagging NER syntactic representations coreference resolution	Complete https://spacy.io/usage/spacy-101 Speech and Language Processing 2.4 Speech and Language Processing 8.0 - 8.2 Speech and Language Processing 18.1.0 - 18.1.1 Speech and Language Processing 22.1 Speech and Language Processing 12.0 - 12.1 Speech and Language Processing 15.0 - 15.1
ML Intro	probability review classification using Naïve Bayes evaluating classifiers	Speech and Language Processing 3.4.0 - 3.4.1 Speech and Language Processing 4.0 - 4.9
Logistic Regression	logistic regression (overview) cross entropy MLE gradient descent regularization multinomial LR	Speech and Language Processing 5.0 - 5.7 OPTIONAL: Speech and Language Processing 5.8
Word and Phrase Representations	words as vectors TF-IDF PPMI lexical semantics and vector semantics word2vec (Skip-gram and CBOW) GloVe evaluating embeddings {/* introduction to contextualized embeddings */}	Speech and Language Processing Ch 6 Glove: Global Vectors for Word Representation The Illustrated BERT, ELMo, and co. Word embeddings demo
Sequence Tagging	part-of-speech tagging HMMs MEMMs decoding	Speech and Language Processing 8.0 - 8.7
Dependency Parsing	dependency trees transition-based parsing graph-based parsing	Speech and Language Processing Ch 15