Africa-focused technology, digital and innovation ecosystem insight and commentary.
…
continue reading
Content provided by DataTalks.Club. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by DataTalks.Club or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
Player FM - Podcast App
Go offline with the Player FM app!
Go offline with the Player FM app!
Bayesian Modeling and Probabilistic Programming - Rob Zinkov
MP3•Episode home
Manage episode 396349081 series 2831626
Content provided by DataTalks.Club. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by DataTalks.Club or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
We talked about:
- Rob’s background
- Going from software engineering to Bayesian modeling
- Frequentist vs Bayesian modeling approach
- About integrals
- Probabilistic programming and samplers
- MCMC and Hakaru
- Language vs library
- Encoding dependencies and relationships into a model
- Stan, HMC (Hamiltonian Monte Carlo) , and NUTS
- Sources for learning about Bayesian modeling
- Reaching out to Rob
Links:
- Book 1: https://bayesiancomputationbook.com/welcome.html
- Book/Course: https://xcelab.net/rm/statistical-rethinking/
Free ML Engineering course: http://mlzoomcamp.com Join DataTalks.Club: https://datatalks.club/slack.html Our events: https://datatalks.club/events.html
184 episodes
MP3•Episode home
Manage episode 396349081 series 2831626
Content provided by DataTalks.Club. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by DataTalks.Club or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
We talked about:
- Rob’s background
- Going from software engineering to Bayesian modeling
- Frequentist vs Bayesian modeling approach
- About integrals
- Probabilistic programming and samplers
- MCMC and Hakaru
- Language vs library
- Encoding dependencies and relationships into a model
- Stan, HMC (Hamiltonian Monte Carlo) , and NUTS
- Sources for learning about Bayesian modeling
- Reaching out to Rob
Links:
- Book 1: https://bayesiancomputationbook.com/welcome.html
- Book/Course: https://xcelab.net/rm/statistical-rethinking/
Free ML Engineering course: http://mlzoomcamp.com Join DataTalks.Club: https://datatalks.club/slack.html Our events: https://datatalks.club/events.html
184 episodes
All episodes
×Welcome to Player FM!
Player FM is scanning the web for high-quality podcasts for you to enjoy right now. It's the best podcast app and works on Android, iPhone, and the web. Signup to sync subscriptions across devices.