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5LN445 Mathematics for Language Technologists, 7.5 c

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88 Commits
old_stuff
old_stuff
 
 
undp_data
undp_data
 
 
.gitignore
.gitignore
 
 
Lecture 01 - Coin Tossing.ipynb
Lecture 01 - Coin Tossing.ipynb
 
 
Lecture 01 - Dice Game.ipynb
Lecture 01 - Dice Game.ipynb
 
 
Lecture 01 - Word ngram model.ipynb
Lecture 01 - Word ngram model.ipynb
 
 
Lecture 02 - Monty Hall.ipynb
Lecture 02 - Monty Hall.ipynb
 
 
Lecture 03 - Sets.ipynb
Lecture 03 - Sets.ipynb
 
 
Lecture 04 - Character ngram model.ipynb
Lecture 04 - Character ngram model.ipynb
 
 
Lecture 05 - POS-taggers.ipynb
Lecture 05 - POS-taggers.ipynb
 
 
Lecture 06 - Binomial distribution.ipynb
Lecture 06 - Binomial distribution.ipynb
 
 
Lecture 06 - Decryption using MCMC.ipynb
Lecture 06 - Decryption using MCMC.ipynb
 
 
Lecture 07 - Plotting distributions.ipynb
Lecture 07 - Plotting distributions.ipynb
 
 
Lecture 08 - Sampling distribution.ipynb
Lecture 08 - Sampling distribution.ipynb
 
 
Lecture 10 - Naive Bayes sentiment analysis.ipynb
Lecture 10 - Naive Bayes sentiment analysis.ipynb
 
 
Lecture 11 - Gender balance.ipynb
Lecture 11 - Gender balance.ipynb
 
 
Lecture 13 - Olympic 100m sprint.ipynb
Lecture 13 - Olympic 100m sprint.ipynb
 
 
Lecture 13 - Reproducing The Spirit Level.ipynb
Lecture 13 - Reproducing The Spirit Level.ipynb
 
 
Lecture 14 - Image compression using linear algebra.ipynb
Lecture 14 - Image compression using linear algebra.ipynb
 
 
Lecture 14 - Linear algebra in python.ipynb
Lecture 14 - Linear algebra in python.ipynb
 
 
Lecture 15 - Mahalanobis distance.ipynb
Lecture 15 - Mahalanobis distance.ipynb
 
 
Lecture 15 - Simple translation using semantic embeddings.ipynb
Lecture 15 - Simple translation using semantic embeddings.ipynb
 
 
Lecture 16 - Exercises.ipynb
Lecture 16 - Exercises.ipynb
 
 
Lecture 17 - Max margin classifier.ipynb
Lecture 17 - Max margin classifier.ipynb
 
 
Lecture 17 - Subspace.ipynb
Lecture 17 - Subspace.ipynb
 
 
Olympic 100m sprint.csv
Olympic 100m sprint.csv
 
 
README.md
README.md
 
 
bead_lab_2018.csv
bead_lab_2018.csv
 
 
bead_lab_2019.csv
bead_lab_2019.csv
 
 
bead_lab_2020.csv
bead_lab_2020.csv
 
 
gender_balance_riksdagen.csv
gender_balance_riksdagen.csv
 
 
ngram.py
ngram.py
 
 
poem1.txt
poem1.txt
 
 
poem2.txt
poem2.txt
 
 
poem3.txt
poem3.txt
 
 
poem4.txt
poem4.txt
 
 
poem5.txt
poem5.txt
 
 
swedish_top100_names - Sheet1.csv
swedish_top100_names - Sheet1.csv
 
 
swedish_top100_names.csv
swedish_top100_names.csv
 
 

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Some code for the course Mathematics for Language Technologists

The majority of the code used during the lectures is, or will be, published here.

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5LN445 Mathematics for Language Technologists, 7.5 c

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