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
- Causal
- Machine learning is sneaking into everything, even into functional programming languages!
- Probabilistic programming
- Get a crash course in Bayesian Statistics, Bayes' Theorem, Bayesian Inference,
- Vikash Mansinghka (MIT)
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 ... So today Hong and I are going to represent the Turing team to give you an introduction on the Touring
Kevin Smith, MIT BMM Summer Course 2018.
That wraps up our extensive overview of From Optimization To Probabilistic Programming.