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chris wiggins edited this page Jun 8, 2019
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(see Syllabus for overview of course)
- Lecture 1, 2019-01-22: intro to course
- Lecture 2, 2019-01-29: setting the stakes
- Lecture 3, 2019-02-05: risk and social physics
- Lecture 4, 2019-02-12: statecraft and quantitative racism
- Lecture 5, 2019-02-19: intelligence, causality, and policy
- Lecture 6, 2019-02-26: data gets real: mathematical baptism
- Lecture 7, 2019-03-05: WWII, dawn of digital computation
- Lecture 8, 2019-03-12: birth and death of AI
- Lecture 9, 2019-03-26: big data, old school (1958-1980)
- Lecture 10, 2019-04-02: data science, 1962-2017
- Lecture 11, 2019-04-09: AI2.0
- Lecture 12, 2019-04-16: ethics
- Lecture 13, 2019-04-23: present problems: attention economy+VC=dumpsterfire
- Lecture 14, 2019-04-30: future solutions
- Lab 1, 2019-01-24: first steps in Python, interrogating the UCI dataset
- Lab 2, 2019-01-31: EDA with the UCI dataset
- Lab 3, 2019-02-07: Quetelet and GPAs
- Lab 4, 2019-02-14: Galton
- Lab 5, 2019-02-21: statistics and society
- Yule and spurious correlations
- Spearman's g-factor, PCA
- Simpson's paradox
- PCA with social data
- Lab 6, 2019-02-28: p-hacking and R. A. Fisher's Statistical Methods for Research Workers, fearing 538's p-hacking
- Lab 7, 2019-03-07: codebreaking at Bletchley: the first data science
- Lab 8, 2019-03-14: AI 1.0
- Lab 9, 2019-03-28: databases and recommendation systems featuring the Netflix Prize story
- Lab 10, 2019-04-04: trees, along with in-lab lecture on trees
- Lab 11, 2019-04-11:
- interactive: 3 types of machine learning (unsupervised, supervised, and reinforcement learning) along with in-lab lecture
- Text data
- Fairness, accountability, transparency, part I disparate impact, disparate treatment, and COMPAS
- Lab 12, 2019-04-18: normative and technical approaches to defining and defending privacy
- our own database of ruin: constructing and de-identifying
- Fairness, accountability, transparency, part II featuring ToS/EULAs
- Lab 13, 2019-04-25: problems, along with in-lab lecture on NSA history
- Lab 14, 2019-05-02: solutions