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archive5d
Introduction to machine learning with Python : a guide for data scientists
Ask the publishers to restore access to 500,000+ books. The Internet Archive keeps the record straight by preserving government websites, news publications, historical documents, and more. If you find ...
GitHub9d
SchNetPack - Deep Neural Networks for Atomistic Systems
SchNetPack is a toolbox for the development and application of deep neural networks to the prediction of potential energy surfaces and other quantum-chemical properties of molecules and materials. It ...
C&EN26d
Exposome-Scale Investigation of Cl-/Br-Containing Chemicals Using High-Resolution Mass Spectrometry, Multistage Machine Learning, and Cloud Computing
Department of Chemistry, Faculty of Science, University of British Columbia, Vancouver Campus, 2036 Main Mall, Vancouver, British Columbia V6T 1Z1, Canada ...
GitHub28d
Hands-on Unsupervised Learning Using Python
This repo contains the code for the O'Reilly Media, Inc. book "Hands-on Unsupervised Learning Using Python: How to Build Applied Machine Learning Solutions from Unlabeled Data" by Ankur A. Patel. Many ...
C&EN28d
Machine Learning the Voltage of Electrode Materials in Metal-Ion Batteries
Department of Physics and Science of Advanced Materials Program and Department of Computer Science, Central Michigan University, Mount Pleasant, Michigan 48859, United States ...
CEO29d
Combined Sewer Overflow (CSO) monitoring: Opportunities for artificial intelligence and machine learning
Black & Veatch's Chris Ranck explains how machine learning can demystify collection systems to create more efficient designs and more reliable outcomes. Artificial intelligence and machine learning ...