Machine learning, artificial intelligence, and prediction are popular buzz words in science. While many wish to incorporate these methods, they can be easy to mis-use. This talk introduces 10 "rules" ...

Overview:  Python’s extensive ecosystem supports everything from data preparation to model training. Go takes a different ...

Python and statistics still sit at the center of data science, but the work surrounding them has expanded. Professionals now move from cleaning data and testing hypotheses into predictive modeling, ...

Learning AI as a technical discipline usually involves more than understanding how a model works. A useful skill set now ...

Every time a software developer pushes new code to a shared repository, an invisible judgment is made: should this change be merged, scrutinized by a human reviewer, or rejected outright? In modern ...