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 ...
Drexel University

AI, Machine Learning & Robotics Research

AI, Machine Learning & Robotics research at Drexel University's College of Computing & Informatics (CCI) explores algorithms, mathematics, and applications of artificial intelligence (AI) through ...
CoinTelegraph

5 key features of machine learning

Machine learning is based on the idea that a system can learn to perform a task without being explicitly programmed. Machine learning has a wide range of applications in the finance, healthcare, ...