Resources

Python worksheets

General introduction to Python

• Worksheet: First steps in Python

• Worksheet: Building your own Python functions

• Worksheet: Python conditions, lists, and loops

• Python list comprehensions

• Python dictionaries

• Worksheet: Reading and writing files in Python

• Worksheet: Sorting in Python

• Python worksheet: regular expressions

• Python worksheet: accessing and processing text

Python and computational semantics

• A very simple distributional model

• Demo: The building blocks of a distributional model

• Python demo: gensim

• Python demo: predicting word similarity

• Python demo: using a pre-trained space

• Demo: computational semantics in NLTK

Other Python demos

• Hidden Markov Models for POS-tagging in Python

• Demo: the forward-backward algorithm

• Language models in Python

R worksheets

• Getting started with R

• Data exploration

• R worksheet: plotting

• R worksheets: merge and aggregate

• R worksheet: descriptive statistics

• R worksheet: contingency tables

• R code: reading, preprocessing and counting text.

• R code: the t-test

• R worksheet: influential datapoints

• R code: nonparametric tests

• R code: Correlation and linear regression

• R code: linear regression

• R code: more linear regression

• R code: logistic regression

• R code: model comparison

• R code: ANOVA

• R code: classification and cross-validation

• R code: classification with Naive Bayes

• R code: classification examples

• R code: clustering

• Topic modeling: a demo

Variational inference

Variational LDA tutorial