Evil Uses of Data
summary
Shows how the NYC taxi release enables NYC taxi de-anonymization attacks that map pickups to home addresses and celebrity movements, explains the math behind Bayesian false positives (accurate tests still flag huge numbers of innocents for rare events), describes a live project tracking insulated homes for Energy Savings Trust to measure real behavior changes and rebound heating, and surveys tools in use today like Hadoop, Spark and Spark Streaming plus D3 visualization and a team rule of one new technology per project.
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chapters (5)
- 0:00Intro
- 0:11Examples of data gone awry
- 1:27Advice for data scientists
- 3:08Applications of data
- 5:24Data trends
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