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
- Probabilistic programming
- Machine learning is sneaking into everything, even into functional programming languages!
- 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!
- Kevin Smith, MIT BMM Summer Course 2018.
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
Vikash Mansinghka (MIT)
That wraps up our extensive overview of From Optimization To Probabilistic Programming.
