Continuous Diffusion for Mixed-Type Tabular Data
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The noise schedule is a key design parameter for diffusion models. It determines how the magnitude of the noise varies over the course of the diffusion process. Read more
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The noise schedule is a key design parameter for diffusion models. It determines how the magnitude of the noise varies over the course of the diffusion process. Read more
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As in previous years, Albert Heijn’s Data Science department partnered with Erasmus University Rotterdam for the 10-week case study course in the Econometrics Master Programme. The case goal was to improve Albert Heijn’s loyalty programme, known as Mijn Bonus Box. The students of the Business Analytics and Quantitative Marketing specialisation developed their ideas and models in teams of four under my guidance. All proposed solutions are highly impressive and the generated insights are utilised by the AH Data Science department. Read more
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People contribute to R for various reasons, which evolves with time. The main reasons appear to be: “fun coding”, personal commitment to the community, interaction with like-minded and/or important people – leading to higher self-esteem, future job opportunities, a chance to express oneself and enjoyable social inclusion. Read more
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Open source projects rely on donated time—what motivates participants? Knowing what motivates people’s work could apply well beyond software development. Read more