Monte Carlo Simulation and Machine Learning in ChemistryLecture 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. |