Science Daily

Smarter AI: Machine learning without negative data

A research team has successfully developed a new method for machine learning that allows an AI to make classifications without what is known as 'negative data,' a finding which could lead to wider ...
The Next Web

Machine learning: What’s the difference between supervised and unsupervised?

Machine learning, the subset of artificial intelligence that teaches computers to perform tasks through examples and experience, is a hot area of research and development. Many of the applications we ...
TMCnet

MicroCloud Hologram Inc. Releases Next-Generation Quantum Convolutional Neural Network Multi-Class Classification Technology, Driving Quantum Machine Learning Towards ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, has launched a groundbreaking technological achievement—a multi-class classification method based on ...
Hosted on MSN

Logistic Regression Machine Learning Example ¦ Simply Explained

Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...
JD Supra

Autoclassification Aids Information Governance

Machine learning allows computers to understand data and act on it without being explicitly programmed. Auto-classification, also known as auto-categorization or other terms, such as predictive coding ...