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From dramsch.net

Real-world Machine Learning by Jesper Dramsch

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Jesper Dramsch is a scientist for machine learning with a curiosity for too many things from application to education to research. I throw big computers at hard problems and see what works. Get to know me right here.

on Tue, 12PM

From dramsch.net

How does generative AI change in 2024?

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My Probable, Plausible, and Possible predictions for AI in 2024

on Jan 23

From dramsch.net

My 2023 in Review: The year of AI

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AI in Focus, from weather forecasting to education

on Jan 21

From dramsch.net

How to get Involved in Offensive LLM Security

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From prompt injection to adversarial samples, how can we stress test models?

on Jan 19

From dramsch.net

Playing with Custom GPTs

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Some fun ideas for custom GPTs on OpenAI

on Nov 30

From dramsch.net

EuroScipy 2022 Tutorial: Increase citations, ease review & collaborati

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Improve your machine learning application for applied science

on Nov 23

From dramsch.net

How we successfully worked on class imbalance for machine learning in

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Getting from a 1-to-50 class imbalance to 1-to-7

on Nov 2

From dramsch.net

Cracking the Code of Missing Data: A Data Scientist's Odyssey

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How I learned the right ways to deal with missing values in ML

on Oct 27

From dramsch.net

Late to the Party

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Jesper Dramsch' Weekly Machine Learning Newsletter

on Oct 24

From dramsch.net

Books | Real-world Machine Learning

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Books I have written

on Oct 19

From dramsch.net

Challenges I learned about in two years of machine learning in weather

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Addressing some challenges in data-driven weather modeling

on Oct 17