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Bayesian AB Testing with Pyro
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November 17, 2023
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Artificial Intelligence
Change Point Detection — A Bayesian Approach
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September 29, 2023
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Artificial Intelligence
Using Bayesian Networks to forecast ancillary service volume in hospitals
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August 14, 2023
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Artificial Intelligence
A Gentle Introduction to Bayesian Deep Learning
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August 5, 2023
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Artificial Intelligence
12 Mental Models for Data Science Introduction 1. Garbage In, Garbage Out 2. Law of Large Numbers 3. Confirmation Bias 4. P-Hacking 5. Simpson’s Paradox 6. Pareto 80/20 rule 7. Occam’s Razor 8. Bias-Variance Tradeoff 9. Overfitting vs. Underfitting 10. The Long Tail 11. Bayesian Considering 12. No Free Lunch Theorem Conclusion Read these next … Watch this next…
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June 16, 2023
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Artificial Intelligence
12 Mental Models for Data Science Introduction 1. Garbage In, Garbage Out 2. Law of Large Numbers 3. Confirmation Bias 4. P-Hacking 5. Simpson’s Paradox 6. Pareto 80/20 rule 7. Occam’s Razor 8. Bias-Variance Tradeoff 9. Overfitting vs. Underfitting 10. The Long Tail 11. Bayesian Considering 12. No Free Lunch Theorem Conclusion Read these next … Watch this next…
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June 16, 2023
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Artificial Intelligence
Create Your Own Nested Sampling Algorithm for Bayesian Parameter Fitting and Model Selection (With Python) Level Up Coding
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June 11, 2023
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Artificial Intelligence
Create Your Own Nested Sampling Algorithm for Bayesian Parameter Fitting and Model Selection (With Python) Level Up Coding
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June 9, 2023
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Artificial Intelligence
Empowering Efficient BO Transfer with Neural Acquisition Process (NAP) General Objectives & Results: From Bayesian Optimisation to Meta-Bayesian Optimisation: Neural Acquisition Processes (NAP): Cool Properties:
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June 7, 2023
2
Artificial Intelligence
Empowering Efficient BO Transfer with Neural Acquisition Process (NAP) General Objectives & Results: From Bayesian Optimisation to Meta-Bayesian Optimisation: Neural Acquisition Processes (NAP): Cool Properties:
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June 7, 2023
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