How To Update Your Beliefs Systematically – Bayes’ Theorem
Here’s a great video that explains Bayes’ theorem with examples and implications for life. I didn’t say it explicitly in the video, but in my view the Bayesian trap is interpreting events that happen repeatedly as events that happen inevitably. They may be inevitable OR they may simply be the outcome of a series of […]
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Is Bayesian thinking a sham?
Here’s a thought provoking video by Julia Galef There’s a common criticism that people who claim to practice “Bayesian thinking” aren’t actually doing anything special — they’re just using a fancy term to make their opinions seem more objective than they really are. In this video I explain why that criticism is misguided.
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Bayesian Data Science by Simulation Tutorial
Here’s an interesting session from the SciPy 2020 virtual conference. As a foundational tutorial in statistics and Bayesian inference, the intended audience is Pythonistas who are interested in gaining a foundational knowledge of probability theory and the basics of parameter estimation. Knowledge of `numpy`, `matplotlib`, and Python are prerequisites for this tutorial, in addition to […]
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Bayes Theorem and Making Probability Intuitive
3Blue1Brown explores perhaps the most important formula in probability: Bayes Theorem. The study with Steve: https://science.sciencemag.org/content/185/4157/1124 http://www.its.caltech.edu/~camerer/Ec101/JudgementUncertainty.pdf
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Bayesian Deep Learning on a Quantum Computer
Learn about bayesian deep learning and how to apply it to a quantum computer from Alex Pozas-Kerstjens
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Bayesian Statistics with Hannah Fry
You’ll hear the term Bayes or Bayesian come up a lot in data science, but this video explores the theory with tennis balls and a table.
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15 Great Articles about Bayesian Methods and Networks
Here’s a curated list of articles on Bayesian methods and networks. An Introduction to Bayesian Reasoning Basics of Bayesian Decision Theory How Bayesian Inference Works Marketing Insight from Unsupervised Bayesian Belief Networks Bayesian Nonparametric Models Using Bayesian Kalman Filter to predict positions of moving particles Naive Bayes Classification explained with Python code Wheel Of Fortune […]
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These Mysteries May Never Have Been Solved Without Mathematics
The next time someone tells you that math has no practical application, tell them about the solved mysteries mentioned in this video.
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Mathematics of Dopamine
In this video, Siraj Raval explores how key reinforcement learning algorithms help explain how the human brain works, specifically through the lens of the neurotransmitter known as ‘dopamine’. These algorithms have been used to help train everything from autopilot systems for airplanes, to video game bots. TD-Learning, Rescorla-Wagner, Kalman Filters, and Bayesian Learning, all in one […]
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Thinking like a Bayesian
Julia Galef outlines the most important principles of thinking like a Bayesian.
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