Monte Carlo Simulation and Machine Learning in Chemistry
Lecture series given as part of the 'Intensive Course on Chemistry' at Kyushu University, 20 - 21 Jan, 2016

Lecture 1    Markov chain Monte Carlo sampling (MCMC.pdf)
Lecture 2    Introduction to Machine Learning and Support Vector Machines (SVM.pdf)
Lecture 3    Dimensionality Reduction and Regression (KRLS.pdf)

Classifying Molecules with Machine Learning (GFLSA.pdf)
Lecture given as part of the course 'Global Frontier in Life Sciences A' at Kyoto University, 17 May 2017.
Note: This lecture is a shorter version of SVM.pdf

Introduction to Bayesian optimization (GFLSA_2018.pdf)
Lecture given as part of the course 'Global Frontier in Life Sciences A' at Kyoto University, 16 May 2018.

Quick introduction to R programming (GFLSA_2019.pdf, DNAseq.dat, GENEseq.dat)
Lecture notes and data files for the class 'Global Frontier in Life Sciences A' at Kyoto University, 29 May 2019. 


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DNAseq.dat
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Packwood Daniel,
May 28, 2019, 12:55 AM
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GENEseq.dat
(2k)
Packwood Daniel,
May 28, 2019, 12:55 AM
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GFLSA.pdf
(2537k)
Packwood Daniel,
May 16, 2017, 5:10 AM
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Packwood Daniel,
May 15, 2018, 4:57 PM
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Packwood Daniel,
May 28, 2019, 12:55 AM
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krls.pdf
(2461k)
Packwood Daniel,
Mar 12, 2017, 5:48 AM
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mcmc.pdf
(1684k)
Packwood Daniel,
Mar 12, 2017, 5:48 AM
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svm.pdf
(2312k)
Packwood Daniel,
Mar 12, 2017, 5:48 AM