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.
Press the play button below to listen here or visit the show page at DataDriven.tv
Engadget has an explainer video about Intel’s latest product: Optane.
Siraj Raval introduces us to the wonderful world of GPU programming and parallel programming.
Not too long ago, Data Science was only for the elite few with a rare combination of skills including advanced knowledge of statistics.
In the last few years, there has enormous progress is making data science accessible to all. This talk from Techorama 2017, Jan Mulkens and Kimberly Hermans explore Microsoft’s solutions to ensure democratization of data science and the possible dangers that lurk below the surface.
We take computers for granted, but what about the field of study behind it? Watch this video for a perspective on the technology that shapes our world.