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Machine-Learning-in-Molecular-Sciences

nickcafferry / Machine-Learning-in-Molecular-Sciences

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2017 Summer School on the Machine Learning in the Molecular Sciences. This project aims to help you understand some basic machine learning models including neural network optimization plan, random forest, parameter learning, incremental learning paradigm, clustering and decision tree, etc. based on kernel regression and dimensionality reduction,…

machine-learning random-forest clustering feature-selection dimensionality-reduction artificial-neural-networks gaussian-processes learning-curve kernel-ridge-regression delta-learning-rule parameter-learning
  • Updated May 16, 2022
  • Jupyter Notebook

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