Frank Corrigan

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A Model: Why Speed Reading May Enhance Ideation and Innovation

May 10, 2020 / Leave a Comment

I took a course on speed reading earlier this year and began “flying” through books (flying, that is, compared to old Frank). Prior to taking this course, I would move across a page slowly, reading each word “aloud” in my head. I would move line by line, carefully contemplating the ideas at the moment as … [Read more…]

Posted in: data science, mental models, python, r, strategy

Back of the Envelope Machine Learning

January 14, 2020 / Leave a Comment

A demo for thinking about how to use ML to steer decision making.

Posted in: data analysis, data science, machine learning, python, r, strategy Tagged: data, data science, decesion making, machine learning, premortem, prototyping, regression, strategy, xgboost

Second Guessing the Optimized Answer

December 27, 2019 / Leave a Comment

One approach to problem-solving is to use a program to find the optimized solution. This applies broadly. For example, your problem might be finding the lowest cost location to build a distribution center (DC), finding the right people to add to your team/company, or determining how to get to the local Target. When systems create … [Read more…]

Posted in: data analysis, data science, machine learning, python, r, running, strategy, Uncategorized Tagged: data, machine learning, maps, mental models, optimization, osm, python, r, routing, strategy

Recent Posts

  • Amateur Notes on Google Cloud Platform
  • A Model: Why Speed Reading May Enhance Ideation and Innovation
  • Back of the Envelope Machine Learning
  • Second Guessing the Optimized Answer
  • Building a Forecasting Framework for Supply Chain with R

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