IBM Blockchain experts define the overall blockchain technology landscape and address the trust divide between an enterprise (permissioned) blockchain and a public, permissionless blockchain.
It’s important to balance stakeholder expectations when you scope a project, and good causal inference can take time. Data scientists Andrew and Adam Kelleher help you develop the tools you need to do causal inference.
Discusses common issues, solutions, and best practices for interoperability with Java.
This chapter describes how you can use the tidyr (“tidy-er”) package to effectively transform your data into an appropriate shape for analysis and visualization.
As 2015 winds down to a close, I reflect on what 2015 brought IT.
Why Grandfather clocks? What links are there between IT and clock movements?
New Mac OS X Means New Tricks...
Wow, who abducted our Windows 10 assumptions and left this smooth running and easy-to-use Operating System in their place?