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Introduction to Support Vector Machines
This tutorial introduces Support Vector Machines (SVMs), a powerful supervised learning algorithm used to draw a boundary between clusters of data.
Enterprise DevOps at Target
How do I start? What’s involved? These are common concerns for any enterprise that wants to apply DevOps. Ross Clanton and Greg Larson share their perspectives on those questions based on their experiences at Target.
The two-sided coin of web performance
Hacking performance across your organization.
Three-dimensional Plotting in Matplotlib
How to create and display a wide variety of 3D objects and patterns in matplotlib.
Data Science from Scratch
Today’s messy glut of data holds answers to questions no one’s even thought to ask.
The Changing Role of the CIO
Does Big Data represent an existential threat to CIOs? Yes, quite possibly.
Disruptive Possibilities: How Big Data Changes Everything
Channel your data from stranded silos into an accessible reservoir of possibility and discovery.
Data Science at the Command Line
Whether you're entirely new to the command line or already dreaming in shell scripts, by the end of this webcast you will have a solid understanding of how to leverage the power of the command line.
Data Science in the Cloud with Microsoft Azure Machine Learning and R
This report covers the basics of manipulating data, as well as constructing and evaluating models in Azure ML, illustrated with a data science example.
Fast Data and the New Enterprise Data Architecture
Big data is indeed transforming the way enterprises interact with information, but that’s only half the story.
Will Big Data Make IT Infrastructure Sexy Again?
Ah, big data. All of that information from mobile devices, social websites, interconnected sensors, and the Industrialized Internet of smart machines is tantalizing—especially since it means a renaissance in IT spending.