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Machine Learning in Molecular Sciences

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Fundamental topics to be covered include basic machine learning models such as kernel methods and …

artificial-neural-networks clustering delta-learning-rule dimensionality-reduction feature-selection gaussian-processes kernel-ridge-regression learning-curve machine-learning parameter-learning random-forest

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https://github.com/nickcafferry/2017-Summer-School-on-the-Machine-Learning-in-the-Molecular-Sciences

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