
Machine learning for quantitative LIBS analysis of aluminum alloys: a comparison of random forest, gradient boosting, and extremely randomized trees
<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5Mc0xpZ0dHZmNNSTJfZlpCdFo3cW1xQ0pTN2hIUGRiNHdXSThWMG5Ra1FnUzNMSEdjb2c1YnZIUUVlZE5KVnBTc1JKVGdMR2dvMTdHOWpWQzBvcWpjVnAw?oc=5" target="_blank">Machine learning for quantitative LIBS analysis of aluminum alloys: a comparison of random forest, gradient boosting, and extremely randomized trees</a>&nbsp;&nbsp;<font color="#6f6f6f">Nature</font>
