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

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 ...

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

While large volumes of data are needed to train machine learning models, the community is looking for improved training techniques to optimize and speed up the process.

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.

Use modern machine learning tools and python libraries. Explain how to deal with linearly-inseparable data. Compare logistic regression’s strengths and weaknesses. Explain what decision tree is & how ...

Many companies can dramatically improve their products and services by using machine learning—an application of artificial intelligence that involves generating predictions from data inputs ...

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

For example, by starting with an ImageNet classifier, researchers in Bangalore, India, used transfer learning to train a model to locate kidneys in ultrasound images using only 45 training examples.