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sander.ai | ||
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fa.bianp.net
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| | | | | The Langevin algorithm is a simple and powerful method to sample from a probability distribution. It's a key ingredient of some machine learning methods such as diffusion models and differentially private learning. In this post, I'll derive a simple convergence analysis of this method in the special case when the ... | |
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senthil.learntosolveit.com
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| | | | | This is a coin flip simulator. It compare theoretical binomial distribution with experimental results. listings/python/coinflip.py (Source) import random import math import matplotlib.pyplot as plt | |
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jaketae.github.io
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| | | | | "I think that's very unlikely." "No, you're probably right." | |
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doomlab.github.io
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| | | The APA Task Force on Statistical Inference (Wilkinson & TFSI, 1999) has advocated the inclusion of effect sizes in journal articles as an important source of information. The fifth and current edition of the APA publication manual (2001, 2010) emphasized these findings from the task force, along with requirement of effect sizes to publish in their journals. However, Fidler et al. (2005) have conveyed that only slight increases in report rates have been found in popular journals. | ||
