Why machine learning can’t detect fake news, why synthetic data can help you follow regulations, and how machine learning helps detect hackers.
- By Upside Staff
- October 22, 2019
NLP is a necessary enterprise discipline today. Understanding the challenges and possibilities will help you harness this discipline for your language applications.
- By William McKnight
- October 18, 2019
The right machine learning algorithms can predict natural disasters, improve customer service, and detect online criminals.
- By Upside Staff
- October 15, 2019
Improving AI with neuroscience, using the public cloud for AI, and putting ML models into production.
- By Upside Staff
- October 8, 2019
These articles describe current projects and initiatives using data science and AI to improve public health and address other worldwide concerns.
- By Upside Staff
- October 1, 2019
What's hot now and what's ahead in BI and analytics? Matthew Scullion, Matillion CEO, offers his perspective.
- By James E. Powell
- September 30, 2019
Who is missing from your data science team, understanding deep learning and active learning, and the uncertainty inherent in machine learning algorithms.
- By Upside Staff
- September 26, 2019
These applications for AI, big data, and data science involve agriculture, wildfires, and climate science.
- By Upside Staff
- September 24, 2019