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Current subtitle of "Benefits of Bayesian Modelling Approaches for Conservation Science" is almost the same as the manuscript title. How should we change that? Also, please help improve subtitles unde…
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### Description
Welcome to 'DSWP' Team, good to see you here
in this issue, you will make a tutorial about Bayesian Ridge and implement it using Scikit-learn
To get assigned to this issue, a…
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On page 4 of the book "An Introduction to Bayesian Data Analysis for Cognitive Science", I find the statement" The probabilities of all possible events in the entire sample space must sum up to 1."
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This has been for me one of the most eye-opening applications of how Bayesian methods can complement reinforcement learning. I'll be sure to go through the source data you've linked and understand how…
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Ptython skills:
- python libraries for data science & machine learning (pandas, numpy, scikit-learn)
- data crunching and exploratory data analysis
- supervised learning: classification and regres…
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Bayesian methods are quite useful for models with random effects, eg where there is repeated measurements on subjects. This type of data seems to come up quite a bit in sports and exercise science. …
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I propose moving the Bayesian mediation analysis and Bayesian moderation analysis notebooks from the Case Studies section to the Causal Inference section of the docs.
Both notebooks would be heavil…
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**Installation**
https://medium.com/@vivek.yadav/deep-learning-setup-for-ubuntu-16-04-tensorflow-1-2-keras-opencv3-python3-cuda8-and-cudnn5-1-324438dd46f0
**Introduction to Statistics for Data S…
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Hi Oscar,
Awesome initiative! If possible, it'd be great to have my book in the Life sciences section :blush: It's work in progress but should be finished in 6 months or so. It's entitled
> Bayes…
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The paper would become stronger with an empirical example on real data. Given the journal of choice it should be a cognitive example. It needs to be
# Steps
## Make choice on an example.
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