Algorithms Don’t Think Like Us, Stop Pretending They Do
When we underestimate algorithms, entire industries crumble because they didn’t see change on the horizon. Case in point: Traditional taxi business vs.
Machine learning is an application of artificial intelligence that provides systems the ability to automatically learn and improve from experience without being explicitly programmed.
When we underestimate algorithms, entire industries crumble because they didn’t see change on the horizon. Case in point: Traditional taxi business vs.
Machine Learning models are probability engines. They will guess wrong sometimes, and that’s how you know they’re working correctly.
As was the case last year, rather than seeing an endless string of traditional webinar talks, the virtual ODSC East conference put the attendee into an online …
In this week's real-time analytics news: Many announcements from NVIDIA GTC (GPU Technology Conference) where companies introduced new products or services …
Using machine learning in mobile apps offers a way to provide distinctive features, simpler operations, and an enhanced user
The dataset will allow more automatic sign language understanding and translation. These technologies could be applied to applications such as virtual …
Bogging down ML engineers with poor quality data that requires extensive manual processes impacts product quality and new feature speed to market.
Researchers have developed a rigorous neural net algorithm designed to extract essential features of big data sets in one
In this week's real-time analytics news: IBM helps bring IBM Z into the DevOps pipeline, HPE enhances its end-to-end hybrid cloud analytics platform, and more.
Researchers are exploring how perceptive AI might be used to evaluate traffic pattern scenarios and make city driving safer.