Synthetic data -- computer-generated data that mimics real-world phenomena -- is disrupting traditional data-to-insight pipelines, allowing organizations of all scales to test, tune, and optimize revolutionary AI models.
- By Yashar Behzadi
- June 28, 2019
Data visualizations are often used to present a large amount of information in a way that’s clear to the viewer. These visualizations explore the gender balance in the U.S. House of Representatives, how creating voting districts can swing elections, and the effect of ranked choice voting.
- By Upside Staff
- June 26, 2019
How the role is changing, current salary trends, and which companies hire the most data scientists.
- By Upside Staff
- June 25, 2019
Identifying relationships within your data can give you the insights you need to improve decision making and enable regulatory compliance. Io-Tahoe’s CEO, Oksana Sokolovsky, explains why.
- By James E. Powell
- June 21, 2019
The use of data science, predictive analytics, and machine learning is growing across industries.
- By Upside Staff
- June 20, 2019
Visualization and analysis tools give us new ways of looking at how space is represented.
- By Upside Staff
- June 19, 2019
Why the accuracy of data and machine learning models might be in the eye of the beholder and the carbon costs of AI model training.
- By Upside Staff
- June 18, 2019
How automation is helping data scientists, how users can understand automated machine learning, and how growth in machine learning and AI is changing business.
- By Upside Staff
- June 13, 2019