Business Wire

Rubber Ducky Labs Raises $1.5 Million to Build Operational Analytics for Recommender Systems

SAN FRANCISCO--(BUSINESS WIRE)--Rubber Ducky Labs, a company dedicated to making recommender systems easier to build and imbue with human knowledge, today announces $1.5 million seed investment round ...

How Recommender Systems Like Google Discover May Work

Google Discover is largely a mystery to publishers and the search marketing community even though Google has published ...
WJHL-TV

Tecton Hosts apply(recsys), a Data Engineering Event for Machine Learning Recommender Systems, on December 6

apply (recsys) focuses on the specific challenges of building recommender systems and will cover best practice development patterns, tools of choice and emerging architectures to successfully build ...
EDN

4 Benefits of Machine Learning in Embedded Systems

Many people have begun experimenting with using machine learning in embedded systems as the two technologies have become more prominent in today’s society. That approach allows for overcoming many of ...