An overview of the challenges MLflow tackles and a primer on how to get started.
A look at Apache Kylin’s architecture and features in version 2.0.
Tools from maps to drones respond to crises with increasing speed and accuracy.
Transform your basemaps using CARTO and PostGIS.
How to use the wordcount example as a starting point (and you thought you’d escape the wordcount example).
Introducing the solar correlation map, and how to easily create your own.
Learn how to ship, parse, store, and analyze logs.
Word embedding in natural language processing.
Early methods to integrate machine learning using Naive Bayes and custom sinks.
In two online sessions October 18-19, 2016, Jesse Anderson will show you how to recognize opportunities, avoid problems, and get the most value from your data.