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ai_exercises

The implementations of AI for games of tictactoe and checkers done in "Artificial Intelligence" course in KTH, Royal Institute of Technology.

decision_trees

exercise showcasing utility of decision trees from 1st semester "Machine Learning" course

evergi_predict_optimize

gep-forecasts

hvdc_ied

software and hardware for HVDC IED lab prototype

medium_posts

code and artifacts for medium posts

rvm_project

Advnaced Machine learning research project, which I contributed to. In this project we explore the general Bayesian framework for obtaining sparse solutions first suggested by Michael E. Tipping. A special case application in this framework known as relevance vector machine (RVM) was implemented. The method is compared to a well-known support vector machine technique. The results are compared for classification and regression problems for artificially generated and real data sets and compared to equivalent results reported in the original paper by Tipping. Though our results generally aligned with Tipping's, we offer possible causes for the discrepancies in the results, whether they are regarding precision, or in the general features of RVM.

tree_graphical_model

an exercise on finding the likelihood of a tree GM

variational_inference

An exercise on variational inference algorithm performed on data sampled from a univariate Gaussian

vvsg_demo

demo for generating synthetic profiles of the buildings with no data

zog_website