# Systems for ML

* [Resources](#resources)

[All about accelerators](https://rajesh-s.gitbook.io/comparchsys/area_specific/accelerators)

## Resources

* [Linear regression explained with visualization](https://mlu-explain.github.io/linear-regression/)
* [CMU open DLSYS course](https://dlsyscourse.org/)
* [MLOps](https://madewithml.com/#mlops)
* [Chip Huyen: Introduction to ML interviews](https://huyenchip.com/ml-interviews-book/)
* [Linear Algebra for ML](https://textbooks.math.gatech.edu/ila/linear-independence.html)
