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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
Similarities, Distances, and Performance Indication
Similarities, Distances, and Performance Indication
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