We talk a lot about human-centered Artificial Intelligence (AI), but what does that mean in application? It can mean different things depending on the purpose of the solution being created. Human-centered AI can mean creating[…]
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[…]
“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[…]
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[…]
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.[…]
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. […]
