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Feature Engineering

  • Longtitude and Latitude as an example
  • Mention deep learning
  • Adding different data sets. They're often from public sources.
  • Data cleansing / munging is huge. It's 80% of data science.
  • Not all attributes are created equal. In fact, they are dramatically unequal. They are also only identified using ML trial and error. Design and HIPPO won't help you here.
  • Goes with the idea that data is abundant.

http://www.analyticshumor.com/search?updated-max=2014-04-03T08:24:00-07:00&max-results=10#sthash.Gqa5F4va.uxfs