In general, they did find that predicting more complex chemical structures benefited from more training data. The researchers explored ways to improve performance when fewer data—say thousands ...

A very active area of materials research is to devise methods that use machine learning to automatically extract predictive models from existing materials data. While prior examples have ...

For Python/Jupyter version of this repository please check homemade-machine-learning project. This repository contains MatLab/Octave examples of popular machine learning algorithms with code examples ...

Data Science - Machine Learning (Harvard on edX): Best for data scientists. Harvard has a strong stable of courses hosted on edX. Image: Harvard University ...

Fault diagnosis is important to the industrial process. This paper proposes an orthogonal incremental extreme learning machine based on driving amount (DAOI-ELM) for recognizing the faults of the ...