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 ...

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

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 ...

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 ...