Lead data scientist Alejandro Correa Bahnsen develops machine learning algorithms for fraud detection. He described for Upside the basic skills and personality traits he believes are necessary to succeed in data science.
- By James E. Powell
- November 9, 2016
Learn about the readability of pie and donut charts, explore how to make an easy grid map, and see how to best use graph analysis on text.
- By Lindsay Stares
- November 9, 2016
How election predictions and polls failed, avoid common mistakes in securing network endpoints, and understand the future of big data and emerging technologies.
- By Quint Turner
- November 9, 2016
According to Gartner, AI and new machine learning techniques will enable a new class of intelligent apps and intelligent things -- along with the emergence of so-called digital twins.
- By Steve Swoyer
- November 8, 2016
The RDBMS challenges of the 1980s are being replayed in the world of big data.
- By Luke Liang
- November 7, 2016
What does it take to be a data engineer? A background in software engineering doesn't hurt. Although the number of data engineers doubled from 2013 to 2015, that growth rate far outstripped that of data scientists.
- By Steve Swoyer
- November 4, 2016
Today read tips for landing a career in open source development, how to use analytics to improve customer interactions, and the highlights of a new benchmark study for analytics engines on Hadoop.
- By Lindsay Stares
- November 4, 2016
Great data scientists need to be open to a wide variety of perspectives.
- By James E. Powell
- November 3, 2016