insideHPC

A ‘Pre-Flight Checklist’ for Machine Learning Training Data

Machine learning is often key to success for today’s institutions that rely heavily on data. But often, data science teams can have a difficult time convincing their organizations of the breadth and ...
National Academies

Making Machine Learning Safer in High-Stakes Settings

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, ...
VentureBeat

Why data remains the greatest challenge for machine learning projects

Quality data is at the heart of the success of enterprise artificial intelligence (AI). And accordingly, it remains the main source of challenges for companies that want to apply machine learning (ML) ...
insideHPC

A Blueprint for Preparing Your Own Machine Learning Training Data

Alegion is in the business of preparing machine learning training datasets for Fortune 1000 organizations. When the team at Alegion first meets with a prospective client, it's pretty predictable. Most ...
eWeek

Azure ML vs Databricks: Which is Better for Your Data Needs?

eSpeaks host Corey Noles sits down with Qualcomm's Craig Tellalian to explore a workplace computing transformation: the rise of AI-ready PCs. Matt Hillary, VP of Security and CISO at Drata, details ...
CoinTelegraph

5 key features of machine learning

Machine learning has a wide range of applications in the finance, healthcare, marketing and transportation industries. It is used to analyze and process large amounts of data, make predictions, and ...