The posts below (as they are written) will range from technical deep-dives in machine learning and pure mathematics, to practical applications in finance and risk, and anything else that catches my interests. Some posts will draw from my expertise as a mathematician, while others will reflect my journey as a beginner exploring and learning new fields.
Gaussian mixture models: a first look
Python
Probability
Statistics
Machine learning
Probabilistic graphical models
Mixture models
Gaussian mixture models
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