Machine learning’s impact on technology is significant, but it’s crucial to acknowledge the common issues of insufficient training and testing data.

To make the most of machine learning you have to train your models right. Here's how to get reliable results from your data.

Optum SVP Sanji Fernando explains how his organization approaches machine learning model training, evaluation, and retraining in this clip from his presentation at Data Summit Connect 2021.

Ways to detect a poisoned machine learning dataset The good news is that organizations can take several measures to secure training data, verify dataset integrity and monitor for anomalies to ...

Want to learn how to become a machine learning engineer? Use our guide to discover the career path and requirements for machine learning engineers.

Researchers have built a new tool that leverages both federated learning and blockchain as a bulwark against data poisoning.

In membership inference attacks, the adversary can work back from the machine learning algorithm to discover the training data used.

While less common, some companies building AI tools and machine-learning models don't automatically opt-in customers. “We do not train our models on user-submitted data by default.

One short week ago, I called on governments to use existing data and proven machine learning and AI techniques to help healthcare systems combat the COVID-19 pandemic.