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

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

Drenik: How important is quality data in machine learning initiatives, especially in healthcare? Konam: Quality data is essential to train deployable machine learning models in healthcare.

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.

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

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 ...

Imagine a busy train station. Cameras monitor everything, from how clean the platforms are to whether a docking bay is empty ...

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.