Background The COVID-19 pandemic and the measures from governments to alleviate its effects has created complicated economic conditions. As a result, conventional models such as the single-factor ...
Likelihood-free Inference for State-Space Models
The project explored methods of likelihood-free inference and prediction for systems where the underlying dynamics are unknown. The proposed method uses multi-task Bayesian Optimization for inferen...
A Study on Approximate Bayesian Computation
Approximate Bayesian computation (ABC) is a framework for inference that utilize simulations to bypass the need to explicitly calculate likelihoods. The project investigated the effects of factors ...
Kodimpi - Relocation Recommendation Application
Background The group project was done for the pilot of the Data Science Project course of Aalto University’s School of Computer Science. The organization client, Reaktor, wanted to make use of the...
Design and Manufacturing of a VTOL UAV by 3D Printing
3D printing is a flexible manufacturing method that is suitable for producing the complicated components of UAVs. However, compared to components produced by traditional method, 3D printed componen...