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Sebastian Raschka

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Sebastian Raschka


Born
in Herne, Germany
April 07, 1988

Website

Twitter

Genre


Some of my greatest passions are "Data Science" and machine learning. I enjoy everything that involves working with data: The discovery of interesting patterns and coming up with insightful conclusions using techniques from the fields of data mining and machine learning for predictive modeling.

I am a big advocate of working in teams and the concept of "open source." In my opinion, it is a positive feedback loop: Sharing ideas and tools that are useful to others and getting constructive feedback that helps us learn!

A little bit more about myself: Currently, I am sharpening my analytical skills as a PhD candidate at Michigan State University where I am currently working on a highly efficient virtual screening software for computer-aided drug-
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Sebastian Raschka isn't a Å·±¦ÓéÀÖ Author (yet), but they do have a blog, so here are some recent posts imported from their feed.

The State of Reinforcement Learning for LLM Reasoning

A lot has happened this month, especially with the releases of new flagship models like GPT-4.5 and Llama 4. But you might have noticed that reactions to these releases were relatively muted. Why? One reason could be that GPT-4.5 and Llama 4 remain conventional models, which means they were trained without explicit reinforcement learning for reasoning. However, OpenAI's recent release of the o3 re Read more of this blog post »
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Published on April 18, 2025 17:00
Average rating: 4.31 · 1,028 ratings · 76 reviews · 24 distinct works ? Similar authors
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Quotes by Sebastian Raschka  (?)
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“Eventually, the performance of a classifier, computational power as well as predictive power, depends heavily on the underlying data that are available for learning. The five main steps that are involved in training a machine learning algorithm can be summarized as follows: Selection of features. Choosing a performance metric. Choosing a classifier and optimization algorithm. Evaluating the performance of the model. Tuning the algorithm.”
Sebastian Raschka, Python Machine Learning: Unlock deeper insights into Machine Leaning with this vital guide to cutting-edge predictive analytics



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