My name is Stanley Sayianka, an aspiring machine learning research scientist. I am a data scientist trained in statistical methods, with a focus on quantitative finance and epidemiological modelling. I thoroughly enjoy studying machine learning, and strive to combine my studies with daily experiences in order to deliver valuable insights wherever I am. In my studies, I love exploring how learning algorithms actually learn, how they respond to changes, and how they evolve to handle the ever-growing complexity of the real world.
My interests: Machine Learning probabilistic reasoning information theory Quant Finance Epidemiology.
Blog: https://stanleyrazor.github.io/portfolio
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