Creating interactive visualizations in the real world, using recursive shapes to explore patterns, and the art within pi.
- By Lindsay Stares
- September 27, 2017
How machine learning trains AI, Coca-Cola uses data to improve products, and businesses will be changed by machine learning.
- By Lindsay Stares
- September 26, 2017
How can you encourage adoption of predictive analytics without executive support?
- By Fern Halper
- September 26, 2017
We need to be critical of analytics insights and recognize that analytics are not absolute representations of an objective business reality.
Data collection and analysis determine how players are hired, change where baseballs are hit, and show trends in who’s watching.
- By Lindsay Stares
- September 20, 2017
A chief data scientist on ad technology and mentoring, 5 ways to start with data science, and what to expect next from Hadoop.
- By Lindsay Stares
- September 19, 2017
Connecting data science to quantum computing, using the scientific method for data science, and the costs of hidden data.
- By Lindsay Stares
- September 14, 2017
As data analysis becomes increasingly important, the debate over which tools to use also increases. However, the most important factor is the actual analytics value a tool provides to the business.
- By Mark Worthen
- September 14, 2017