Data science students receive experience in contest, example uses for big data and advanced analytics, and how machine learning may detect reasons employees leave.
- By Lindsay Stares
- October 19, 2017
Visualizations illustrate the effect of helmet laws, the difference in worker’s compensation policies, and where to hide from digital ghosts.
- By Lindsay Stares
- October 18, 2017
Are you interested in bringing machine learning and predictive analytics to your enterprise? Many prospective users don't know where to start.
- By James E. Powell
- October 18, 2017
You can avoid common challenges associated with creating a C-level data office by partnering with both IT and business leaders on three critical tasks.
- By Suresh Venkateswaran
- October 17, 2017
Detecting threats to mobile devices, analyzing unstructured data for security use, and augmenting human cybersecurity with AI and machine learning.
- By Lindsay Stares
- October 17, 2017
You need these best practices to define the data lake and its methods.
- By Philip Russom
- October 16, 2017
Don’t overcomplicate your analytics. Sometimes the simplest analysis is the best.
- By Scott McKinney
- October 12, 2017
Read about four popular machine learning algorithms, advice for successful data stewardship, and the advantages of NoSQL databases.
- By Lindsay Stares
- October 12, 2017
Language analysis doesn’t have to be complex; these charts show the sources for English, where common languages are spoken, and how writing affects drawing.
- By Lindsay Stares
- October 11, 2017