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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 “skills” in the following.
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The following poem, created using Google Gemini AI :robot:, chronicles my journey into the world of ergonomic DIY keyboards.
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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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It is New Year’s Day 2023 :sweat_smile:.
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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…
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I can’t count how many times I have looked up the formal (measure theoretic) definitions of conditional probability distribution or conditional expectation (even though it’s not that hard :weary:) Another such occasion was yesterday.
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For a while now I wanted to migrate my websites away from Github pages.
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Last month, after mentioning “deep learning” a few times to some professors, I suddenly found myself in a position where I had to prepare three talks about “deep learning” within just one month… :sweat_smile: This is not to complain.
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Unfortunately this was not taught in any of my statistics or data analysis classes at university (wtf it so needs to be :scream_cat:).
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The United States Patent and Trademark office (USPTO) provides immense amounts of data (the data I used are in the form of XML files).