This is 2 min Bayes. Next, we will discuss some real-world applications of Bayesian modeling. Follow @IntuitiveBayes for regular insights on Bayesian statistics, AI, & data science
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11/11
While considering Bayes, we must be aware of the types of problems on which Bayes works best and how to know which problems are well-suited for Bayesian modeling.
1/11
๐ฆธ It has a hidden superpower in the form of probabilistic programming.
๐ฏ In general, Bayes works best on problems where we need to gain an understanding of a structured dataset, and we also want to quantify our uncertainty.
10/11
This is 2 ๐ข๐๐ฃ ๐ฝ๐๐ฎ๐๐จ. Next, we will look at what types of problems are well-solved by Bayesian modeling.
Follow @IntuitiveBayes for regular insights on Bayesian statistics, AI, and data science. Check out more at: https://t.co/gAwfV3fytL
#2minbayes#intuitivebayes
13/13
We learned "How to Think about Bayes" in our previous post, and today we're going to talk about how Bayesian modeling differs from other approaches in more detail. ๐
1/13
- In summary, Bayesian modeling is a flexible and powerful framework that is surprisingly underutilized. Our aim is to change this by democratizing Bayesian modeling through our course.
12/13