Neural-networks-and-Hamiltonian-Monte-Carlo

Tutorial project about deep convolutional neural networks and Hamiltonian Monte Carlo optimzation (work in progress). The tutorial (when finished) will contain introductory material + package free implementation (either C++ or Python) on the previously mentioned subject.

Cluster-number-selection-with-Iris-data-set

A short python exercise for selecting the K parameter for K-means clustering via weighted averaging of Silhouette, Elbow and Gap statistics

Model_assisted_Bayesian_opti

Python code for article: Model-assisted survey sampling with Bayesian optimization

Primer-to-support-vector-machines

A self-made tutorial on the widely known machine learning technique called Support Vector Machines (SVM). My tutorial aims to provide the reader with a concrete understanding from top to bottom of what SVM is, what is the basic mathematics behind it and how one implements it in e.g. Python code.

Tutorial-on-Expectation-Maximization-algorithm