Continuous Learning Convolutional Neural Networks Metadata Natural Language Processing 
The MLOps Blog
FEBRUARY 22, 2024
TL;DR: In many machine-learning projects, the model has to frequently be retrained to adapt to changing data or to personalize it. Continual learning is a set of approaches to train machine learning models incrementally, using data samples only once as they arrive. What is continual learning?
Unite.AI
JULY 31, 2023
This approach is known as self-supervised learning , and it’s one of the most efficient methods to build ML and AI models that have the “ common sense ” or background knowledge to solve problems that are beyond the capabilities of AI models today.
Expert insights. Personalized for you.
59 
Let's personalize your content