Abstractions

written by Eric J. Ma on 2016-06-10 | tags: programming bayesian data science deep learning

Matt Johnson (of HIPS) had an interesting comment on Wednesday.

LLVM's relationship to machine code is a bit like Deep Learning's relationship to Bayesian models. Deep learning abstracts out details into a reliable black box, unlike Bayesian models in which all details need to be known. Likewise, LLVM abstracts out machine code in a reliable fashion, so that higher level programming languages don't have to think about that stuff.

Interesting.

Cite this blog post:

@article{
    ericmjl-2016-abstractions-abstractions,
    author = {Eric J. Ma},
    title = {Abstractions},
    year = {2016},
    month = {06},
    day = {10},
    howpublished = {\url{https://ericmjl.github.io}},
    journal = {Eric J. Ma's Blog},
    url = {https://ericmjl.github.io/blog/2016/6/10/abstractions},
}

I send out a newsletter with tips and tools for data scientists. Come check it out at Substack.

If you would like to sponsor the coffee that goes into making my posts, please consider GitHub Sponsors!

Finally, I do free 30-minute GenAI strategy calls for teams that are looking to leverage GenAI for maximum impact. Consider booking a call on Calendly if you're interested!

Eric J Ma's Website