Some of the most encouraging results for reaction-enhancing catalysts come from one material in particular: tin (Sn). While ...

With the exponential increase in the amount of digital information over the internet, online shops, online music, video and image libraries, search engines, and recommendation system have become the ...

Web scraping with Python : collecting data from the modern web by Mitchell, Ryan, author Publication date 2015 Topics Python (Computer program language), Data mining, Automatic data collection systems ...

Researchers at Tohoku University used machine learning potential to create large-scale models of tin (Sn) catalysts under ...

I am a computational biologist interested in interpretable machine learning for genomics and health care. Interpretable ...

The new capabilities are designed to enable enterprises in regulated industries to securely build and refine machine learning ...

Methane (CH4) pyrolysis, a reaction that produces hydrogen without emitting carbon dioxide, often utilizes molten media ...

The study’s authors note that small neural networks — simplified versions of the neural networks typically used in commercial ...

Purushottam et al. (2016) devised an efficient algorithm based on hill climbing and to evaluate the probability of heart disease, decision trees were used. To employ classification techniques, they ...

Google Colab is a really handy tool for anyone working with machine learning and data stuff. It’s free, it runs in the cloud, and it lets you use Python without a lot of fuss. Whether you’re just ...