The Next Web

What is semi-supervised machine learning?

Machine learning has proven to be very efficient at classifying images and other unstructured data, a task that is very difficult to handle with classic rule-based software. But before machine ...
Learn With Jay on MSNOpinion

Supervised learning made easy: Real-world example explained

In this video, we will study Supervised Learning with Examples. We will also look at types of Supervised Learning and its ...
VentureBeat

To optimize data curation for AI, Lightly turns to self-supervised learning

All machine learning models are bound by a critical factor: The quality of the data on which the model is trained. The challenge of data curation to improve the quality of machine learning and AI ...
GIGAZINE

Introducing RETFound, an AI that detects signs of eye disease and Parkinson's disease from retinal images, and self-supervised learning simplifies pre-training

AI that detects diseases using retinal images already exists, but it required training by first labeling a large number of retinal images as ``normal'' or ``not normal.'' The new AI ' RETFound ' ...
TechCrunch

For companies that use ML, labeled data is the key differentiator

AI is driving the paradigm shift that is the software industry’s transition to data-centric programming from writing logical statements. Data is now oxygen. The more training data a company gathers, ...
InfoWorld

What is human-in-the-loop machine learning? Better data, better models

Human-in-the-loop machine learning takes advantage of human feedback to eliminate errors in training data and improve the accuracy of models. Machine learning models are often far from perfect. When ...