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Introduction
Syllabus (PPOL 628 Spring 2022)
Introduction
First Tools of the Trade
Setting up a Computing Environment
Tools for Data Infrastructure
Tools for Data Science
Chapter Resources
Assumptions
Overview
Expressions of Intent
Keywords
Rules for Entities, Rules for Relations
Driving with Data
Vector Semantics
Goals & Approach
Overview: Supervision (or the lack-thereof)
Unsupervised Techniques
Prelude: On Reduction and High Dimensional Pancakes
Let Simmer, Unsupervised
Supervised Machine Learning with Text
Measure & Evaluate
Similarities, Distances, and Performance Indication
Overview:
Metrics
and
Metrology
The Good Translator: how you “win”
defines the game
Validate
Trouble in Paradise
Appendix
Datasets for this Course
MTGJSON
“Tiny” Shakespeare
Tutorials
Markovian Shakespeare
Repository
Open issue
.md
.pdf
Unsupervised Techniques
Unsupervised Techniques
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