Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is ...

CSIRO's quantum-enhanced AI model boosts chip design accuracy using only 5 qubits, outperforming classical methods in ...

This paper aims to implement an efficient renewable energy selection (either solar or wind) based on the chosen geographic location of Aguascalientes, Mexico through a Machine Learning (ML) method.

🎯 We built a beginner-friendly federated learning (FL) library and benchmark: master FL in 2 hours—run it on your PC! Contribute your algorithms, datasets, and metrics to grow the FL community. 👏 ...

Global agriculture is facing major challenges such as food security, sustainable water management, and the preservation of natural resources. Water scarcity, exacerbated by climate change, requires ...

The demo creates a linear support vector regression model, evaluates the model accuracy on the training and test data, and then uses the model to predict the target y value for x = [-0.1660, 0.4406, ...

Extracellular polymeric substances (EPS)-related biofouling in anaerobic electrochemical membrane bioreactors (AnEMBR) is commonly mitigated, yet the underlying mechanisms require further elucidation.

A new machine learning approach that draws inspiration from the way the human brain seems to model and learn about the world has proven capable of mastering a number of simple video games with ...

Linear Trees combine the learning ability of Decision Tree with the predictive and explicative power of Linear Models. Like in tree-based algorithms, the data are split according to simple decision ...

More information: Zhenghao Yin et al, Experimental quantum-enhanced kernel-based machine learning on a photonic processor, Nature Photonics (2025). DOI: 10.1038/s41566-025-01682-5 ...