The map, filter, and reduce functions in Python simplify the job of working with lists. In this lesson, learn how to use each function.
Kathryn Harris explains her transition from academia as an astrophysicist to private industry as a data scientist.
Crosstalk Solutions experiments with running a NanoStation wireless bridge off of a small solar panel array.
From GDD Europe ’17, Juan Silveira gives an overview of the work DeepMind has been doing.
Decision Tree classifiers are intuitive, interpretable, and one of the most effective supervised learning algorithms.
In this episode, Josh Gordon walk you through writing a Decision Tree classifier from scratch, in pure Python, introducing you to concepts including Decision Tree Learning, Gini Impurity, and Information Gain.
From the EuroPython Conference July 2017, Anjana Vakil explains the beauty and simplicity of lambda functions.
The September 2017 update includes two features that were demoed at the Data Insights Summit: drill through and report insights.
There’s also an update to the theming preview and a new chart type!
Sixteen years ago, I was fortunate to survive a situation that many had not. Now on the 16th anniversary of the terrorist attacks of 9/11, I wonder what the impact of data analytics in the wake of disasters: both natural and unnatural.
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Engadget has an explainer video about Intel’s latest product: Optane.