Understanding From Optimization To Probabilistic Programming
Let's dive into the details surrounding From Optimization To Probabilistic Programming. In Fall 2020 and Spring 2021, this was MIT's 18.337J/6.338J: Parallel Computing and Scientific Machine Learning course.
Key Takeaways about From Optimization To Probabilistic Programming
- Machine learning is sneaking into everything, even into functional programming languages!
- Probabilistic programming
- Causal
- Visit http://julialang.org/ to download Julia. Time Stamps: 00:00 Welcome! 00:10 Help us add time stamps or captions to this video!
- [Marco] Hi, yes, so I'll be presenting some joint work with Vikash on Gen, a
Detailed Analysis of From Optimization To Probabilistic Programming
"Decision Science with This talk shows how to make smarter, safer AI that understands the world like we do, using a new symbolic medium that I helped ... We present new techniques for automatically constructing
Get a crash course in Bayesian Statistics, Bayes' Theorem, Bayesian Inference,
That wraps up our extensive overview of From Optimization To Probabilistic Programming.