Mór Kapronczay
Senior Machine Learning Engineer at Superlinked
Expertise: Natural language processing, machine learning, python, data science.
Education: Corvinus University of Budapest
Mór Kapronczay is an experienced data scientist and senior machine learning engineer for Superlinked. He has worked in data science since 2016, and has held roles as a machine learning engineer for LogMeIn and an NLP chatbot developer at K&H Csoport. Kapronczay holds a master’s in finance from Corvinus University of Budapest.
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Mean squared error (MSE) and mean squared logarithmic error (MSLE) are loss functions used to evaluate regression model prediction accuracy. MSE prioritizes minimizing large absolute errors, and MSLE reduces outlier impact through logarithmic scaling.
A language model conducts a probability distribution over words or word sequences. Here’s more on what language models can do, their types, evolution and future outlook.