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You are here		www.paepper.com Monte Carlo for better time estimates of your work :: Päpper's Machine Learning Blog - This blog features state of the art ap...
\|	\|	possiblywrong.wordpress.com A maximally inefficient Monte Carlo estimate of pi \| Possibly Wrong	7.8 parsecs away Travel
\|	\|	Introduction Let's play a game: I will repeatedly flip a fair coin, showing you the result of each flip, until you say to stop, at which point you win an amount equal to the fraction of observed flips that were heads. What is your strategy for deciding when to stop? This weekend 6/28 is "Two-Pi...	7.8 parsecs away Travel
\|	\|	matbesancon.xyz A Pythonic data science project: Part I \| ??	3.7 parsecs away Travel
\|	\|	Learning by doing: detecting fraud on bank notes using Python in 3 steps.	3.7 parsecs away Travel
\|	\|	sebastianraschka.com Model evaluation, model selection, and algorithm selection in machine learning	5.0 parsecs away Travel
\|	\|	I'm an LLM Research Engineer with over a decade of experience in artificial intelligence. My work bridges academia and industry, with roles including senior staff at an AI company and a statistics professor. My expertise lies in LLM research and the development of high-performance AI systems, with a deep focus on practical, code-driven implementations.	5.0 parsecs away Travel
\|	\|	therealmjp.github.io SG Series Part 1: A Brief (and Incomplete) History of Baked Lighting Representations	26.1 parsecs away Travel
\|		This is part 1 of a series on Spherical Gaussians and their applications for pre-computed lighting. You can find the other articles here: Part 1 -A Brief (and Incomplete) History of Baked Lighting Representations Part 2 -Spherical Gaussians 101 Part 3 -Diffuse Lighting From an SG Light Source Part 4 -Specular Lighting From an SG Light Source Part 5 -Approximating Radiance and Irradiance With SG's	26.1 parsecs away Travel