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Overview
Hi, my name is Alexej Gossmann.I'm professionally interested in machine learning / AI, statistics, mathematics, software development in those areas, medical applications of the above. 0-fold Cross-Validation is the name of this blog.
News
Notes on purposeful skill maintenance/improvement/neglect
Over the course of my life I've invested a lot of time and effort into the acquisition of different skills, abilities, competencies, specialized knowledge - for simplicity I will refer to all of it as
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The deep rabbit hole of DIY small ergonomic keyboards
The following poem, created using Google Gemini AI :robot:, chronicles my journey into the world of ergonomic DIY keyboards. It documents my (evolving) preferences and opinions, as well as a curated list of resources that I have found useful over the last
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Comparing GPT-4, 3.5, and some offline local LLMs at the task of generating flashcards for spaced repetition (e.g., Anki)
tldr: I used GPT-4 Turbo, GPT-3.5 Turbo, and two open-source offline LLMs to create flashcards for a spaced repetition system (Anki) on a mathematical topic; I rated the 100 LLM-suggested flashcards (i.e., question-answer pairs) along the dimensions of tr
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Having some fun with Stable Diffusion Inpainting in Python on New Year's Day
It is New Year's Day 2023 :sweat_smile:. Happy New Year!!! :fireworks: I am currently driving with my family coast-to-coast on a road trip through the United States, but for New Year's Eve and New Year's Day we stayed in one place. Taking advantage of the
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Concordance Correlation Coefficient
If we collect (n) independent pairs of observations ((y_{11}, y_{12}), (y_{21}, y_{22}), dots, (y_{n1}, y_{n2})) from some bivariate distribution, then how can we estimate the expected squared perpendicular distance of each such point in the 2D plane from
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