In an earlier blog, we discussed some of the basic concepts behind recommender systems and what they do. This time let’s delve a little deeper into how recommender systems work. First we need to start[…]
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Author: Julie Novic
“An AI Walks into a Bar” – Using Artificial Intelligence to Generate Humor
“If the mushroom was such a fungi, why didn’t they have the party at his house?” “Because there wasn’t much-room.” –Dad Joke Generator We all know a bad joke when we hear it. Sometimes one[…]
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How Social Science & the Humanities + Data Science = More Ethical AI
As practitioners and consumers of data science, how do we make ethical decisions when confronted with thorny dilemmas in artificial intelligence (AI)? How do we even recognize when those dilemmas emerge before they become public[…]
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PyCon 2019: A Little Something for Everyone
PyCon is the largest annual gathering of the Python user community, a group to which Pandata enthusiastically belongs. Several members of Team Panda were able to participate in this year’s PyCon, conveniently held in Cleveland.[…]
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Sifting Through the Noise: Data Science Buzzwords
Call it Machine Learning or Artificial Intelligence, the goal is to solve problems using data. Solving problems using data is the driving force behind data science. Everything else is just a weapon in our arsenal. […]
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