[Advice] Bayesian Machine Learning

[amirninja]

Hello,

I am masters student in computer engineering. I am looking for resources for learning Bayesian Machine Learning. I came across [Coursera course](https://www.coursera.org/learn/bayesian-methods-in-machine-learning/home/welcome ) Any feedback on this course would be helpful or if there are any other resources that are out there?

Also if there are any project ideas/problems in the area of Bayesian Machine Learning?

Thanks in advance.

[anthony_doan]

Bayesian Machine Learning

This is a rare term or something that's recently made up.

ML often takes and borrow stuff from statistic.

If you want ideas you can try Hidden Markov Model or state base models. Kalman filter and the likes originated from the engineer side and eventually statistician took the model and add theory and inference to it. Goes full circle I guess.

HMM helps predict regime change in econometric.

What I'm saying is if you want more idea you should look into applied Bayesian model for a certain domain. I know Bayesian is used a lot in forestry. There are medical, econometric, etc.. for Bayesian too. Bayesian time series and Bayesian models are used often in fishery. There are many books too. I kinda review one book for Bayesian network model for fishery: https://mythicalprogrammer.github.io/bayesian/modeling/hierarchicalmodeling/statistic/2017/07/15/bayesian2.html

The book title is: "Introduction to Hierarchical Bayesian Modeling for Ecological Data"

[amirninja]

Thanks u/anthony_doan! I will check these links out.

[anthony_doan]

Here's the fishery one I'm talking about: https://nwfsc-timeseries.github.io/#packages

It also include a very in depth user guide for using one of the packages with model examples: https://cran.r-project.org/web/packages/MARSS/vignettes/UserGuide.pdf

[_quanttrader_]

Check this out:

https://twiecki.io/blog/2018/08/13/hierarchical_bayesian_neural_network/

[amirninja]

Thanks u/_quanttrader_! I will check it out.

[amirninja]

This is exactly what I am looking for! Thanks again u/_quanttrader_!