Explore >> Select a destination

You are here

 twiecki.io
whilemy_mcmc:gently(samples) - The Best Of Both Worlds: Hierarchical Linear Regression in PyMC
| | isaacslavitt.com
Isaac Slavitt: Solving the Bayesian German Tank problem with PyMC and PyStan
2.7 parsecs away

Travel
| | [AI summary] The article discusses the German Tank Problem, a statistical estimation challenge where the goal is to infer the total number of tanks based on observed serial numbers, using Bayesian methods and MCMC libraries like Sampyl, PyMC3, and PyStan.
| | dfm.io
An astronomer's introduction to NumPyro | Dan Foreman-Mackey
2.7 parsecs away

Travel
| |
| | austinrochford.com
Bayesian Age/Period/Cohort Models in Python with PyMC | Austin Rochford
1.6 parsecs away

Travel
| | For my day job, I spend a lot of time thinking about e-commerce analytics and cohort analysis in particular. Statistical age-period-cohort (APC) models are important in many fields such as epidemiolo
| | adl1995.github.io
An overview of activation functions used in neural networks
22.5 parsecs away

Travel
| [AI summary] The article explains various activation functions used in neural networks, their properties, and applications, including binary step, tanh, ReLU, and softmax functions.