Microsoft, Facebook Unite for AI Competition with Google’s TensorFlow
Rivals have been left trailing in the wake of Google’s TensorFlow, whose framework is clearly positioned as the dominant open-source AI software syste…
Rivals have been left trailing in the wake of Google’s TensorFlow, whose framework is clearly positioned as the dominant open-source AI software syste…
How can you seamlessly manage your campaigns and organization’s channels amid commerce anarchy? Discover a few strategies in this article.
Tomer Shiran, CEO at Dremio, discusses how Data as a Service (DaaS) platforms employ several technologies to make data accessible. Find out what data consumers can use with DaaS.
A feature-rich data annotation tool can significantly improve the accuracy of your ML projects. Let’s look at some open-source data annotation tools that serve multiple use cases.
R and Python are among the most common programming languages in the age of AI. Learn 12 ways they differ and 5 ways they resemble each other.
Michael Amori of Virtualitics shares strategies to ensure that you make data-driven decisions and leverage tech to eliminate bias.
A career in ML engineering requires certain skill-sets and a knowledge base. Here are six steps advocated by many ML engineers that one should master to become a successful ML engineer.
Don’t let poor HR data quality hold back your digital transformation. Learn 6 parameters to look at in order to ensure superior HR data quality.