IBM’s Uncertainty Qualification 360 is an open source library of Python algorithms for quantifying, estimating, and communicating the uncertainty of machine learning models.

Humans create and share vast amounts of data which can be used to manipulate every aspect of life—for good and not-so-good motives. Data and their associated algorithms can serve governments, ...

Three new books warn against turning into the person the algorithm thinks you are. Like a lot of Netflix subscribers, I find that my personal feed tends to be hit or miss. Usually more miss. The ...

Esri, the global leader in location intelligence, has released the Esri Advanced Guide to Python in ArcGIS, a new book for ...

As a Python library for machine learning, with deliberately limited scope, Scikit-learn is very good. It has a wide assortment of well-established algorithms, with integrated graphics.

According to Python developers at Netflix, the language is used through the "full content lifecycle," from security tools to its recommendation algorithms to its proprietary content distribution ...

All of the books explore a vital aspect of the information age—from studying the code that creates systemic bias to discussing regimes that limit access to information. The third book, Digital ...