Probabilistic inference involves estimating an expected value or density using a probabilistic model. Often, directly inferring values is not tractable…
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A Gentle Introduction to Monte Carlo Sampling for Probability
Monte Carlo methods are a class of techniques for randomly sampling a probability distribution. There are many problem domains where…
Continue ReadingN-step TD Method
N-step TD MethodThe unification of SARSA and Monte Carlo SimulationJeremy ZhangBlockedUnblockFollowFollowingJun 28In previous posts, we have been together explored some general…
Continue ReadingThe hybrid Monte Carlo Method
Statistical LearningThe hybrid Monte Carlo Methodin PythonDiogo RibeiroBlockedUnblockFollowFollowingJun 2Photo by Hyouk Seo on UnsplashThe Hamiltonian Monte Carlo method is a kind of…
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What happens when the probabilities look more like this?Rbb [CC BY-SA 3. 0 (https://creativecommons. org/licenses/by-sa/3. 0)], from Wikimedia CommonsIn this…
Continue ReadingData Science Case Study: Optimizing Product Placement in Retail (Part 2)
If we wanted to strengthen our position within a market we could make such a move and moreover design our…
Continue ReadingMonte Carlo Simulations with Python (Part 1)
Monte Carlo Simulations with Python (Part 1)Patrick HanburyBlockedUnblockFollowFollowingJan 25Monte Carlo’s can be used to simulate games at a casino (Pic courtesy…
Continue ReadingInfection Modeling — Part 2
Infection Modeling — Part 2Optimizing a Vaccination Strategy with Genetic AlgorithmsMark DitsworthBlockedUnblockFollowFollowingJan 7In part 1, we modeled the spread of an infectious pathogen…
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