Today’s clip is from <a href="https://learnbayesstats.com/episode/129-bayesian-deep-learning-ai-for-science-vincent-fortuin" rel="noopener noreferrer" target="_blank">episode 1</a>30 of the podcast, with epidemiological modeler Adam Kucharski.This conversation explores the critical role of patient modeling during the COVID-19 pandemic, highlighting how these models informed public health decisions and the relationship between modeling and policy. The discussion emphasizes the need for improved communication and understanding of data among the public and policymakers.Get the full discussion at https://learnbayesstats.com/episode/129-bayesian-deep-learning-ai-for-science-vincent-fortuin<ul><li><a href="https://topmate.io/alex_andorra/503302" rel="noopener noreferrer" target="_blank">Intro to Bayes Course</a> (first 2 lessons free)</li><li><a href="https://topmate.io/alex_andorra/1011122" rel="noopener noreferrer" target="_blank">Advanced Regression Course</a> (first 2 lessons free)</li></ul> Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his <a href="https://bababrinkman.com/" rel="noopener noreferrer" target="_blank">awesome work</a>!Visit our <a href="https://www.patreon.com/learnbayesstats" rel="noopener noreferrer" target="_blank">Patreon page</a> to unlock exclusive Bayesian swag ;)TranscriptThis is an automatic transcript and may therefore contain errors. Please <a href="http://twitter.com/LearnBayesStats" rel="noopener noreferrer" target="_blank">get in touch</a> if you're willing to correct them.

Today’s clip is from episode 130 of the podcast, with epidemiological modeler Adam Kucharski. This conversation explores the critical role of patient modeling during the COVID-19 pandemic, highlighting how these models informed public health decisions and the relationship between modeling and policy. The discussion emphasizes the need for improved communication and understanding of data among the public and policymakers. Get the full discussion at https://learnbayesstats.com/episode/129-bayesian-deep-learning-ai-for-science-vincent-fortuinIntro to Bayes Course (first 2 lessons free)Advanced Regression Course (first 2 lessons free) Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work! Visit our Patreon page to unlock exclusive Bayesian swag ;) TranscriptThis is an automatic transcript and may therefore contain errors. Please get in touch if you're willing to correct them.

Today’s clip is from <a href="https://learnbayesstats.com/episode/129-bayesian-deep-learning-ai-for-science-vincent-fortuin" rel="noopener noreferrer">episode 1</a>30 of the podcast, with epidemiological modeler Adam Kucharski.This conversation explores the critical role of patient modeling during the COVID-19 pandemic, highlighting how these models informed public health decisions and the relationship between modeling and policy. The discussion emphasizes the need for improved communication and understanding of data among the public and policymakers.Get the full discussion at https://learnbayesstats.com/episode/129-bayesian-deep-learning-ai-for-science-vincent-fortuin<ul><li><a href="https://topmate.io/alex_andorra/503302" rel="noopener noreferrer">Intro to Bayes Course</a> (first 2 lessons free)</li><li><a href="https://topmate.io/alex_andorra/1011122" rel="noopener noreferrer">Advanced Regression Course</a> (first 2 lessons free)</li></ul> Our&nbsp;theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and&nbsp;Mega Ran). Check out his <a href="https://bababrinkman.com/" rel="noopener noreferrer">awesome work</a>!Visit our <a href="https://www.patreon.com/learnbayesstats" rel="noopener noreferrer">Patreon page</a> to unlock exclusive Bayesian swag ;)TranscriptThis is an automatic transcript and may therefore contain errors. Please <a href="http://twitter.com/LearnBayesStats" rel="noopener noreferrer">get in touch</a> if you're willing to correct them.

BITESIZE | Real-World Applications of Models in Public Health, with Adam Kucharski

Are you a researcher or data scientist / analyst / ninja? Do you want to learn Bayesian inference, stay up to date or simply want to understand what Bayesian inference is?

Then this podcast is for you! You'll hear from researchers and practitioners of all fields about how they use Bayesian statistics, and how in turn YOU can apply these methods in your modeling workflow.

When I started learning Bayesian methods, I really wished there were a podcast out there that could introduce me to the methods, the projects and the people who make all that possible. 

So I created "Learning Bayesian Statistics", where you'll get to hear how Bayesian statistics are used to detect black matter in outer space, forecast elections or understand how diseases spread and can ultimately be stopped.

But this show is not only about successes -- it's also about failures, because that's how we learn best. So you'll often hear the guests talking about what *didn't* work in their projects, why, and how they overcame these challenges. Because, in the end, we're all lifelong learners!

My name is Alex Andorra by the way, and I live in Estonia. By day, I'm a data scientist and modeler at the https://www.pymc-labs.io/ (PyMC Labs) consultancy. By night, I don't (yet) fight crime, but I'm an open-source enthusiast and core contributor to the python packages https://docs.pymc.io/ (PyMC) and https://arviz-devs.github.io/arviz/ (ArviZ). I also love https://www.pollsposition.com/ (election forecasting) and, most importantly, Nutella. But I don't like talking about it – I prefer eating it.

So, whether you want to learn Bayesian statistics or hear about the latest libraries, books and applications, this podcast is for you -- just subscribe! You can also support the show and https://www.patreon.com/learnbayesstats (unlock exclusive Bayesian swag on Patreon)!

Science

Technology

Education

Are you a researcher or data scientist / analyst / ninja? Do you want to learn Bayesian inference, stay up to date or simply want to understand what Bayesian inference is? Then this podcast is for you! You'll hear from researchers and practitioners of all fields about how they use Bayesian statistics, and how in turn YOU can apply these methods in your modeling workflow. When I started learning Bayesian methods, I really wished there were a podcast out there that could introduce me to the methods, the projects and the people who make all that possible. So I created "Learning Bayesian Statistics", where you'll get to hear how Bayesian statistics are used to detect black matter in outer space, forecast elections or understand how diseases spread and can ultimately be stopped. But this show is not only about successes -- it's also about failures, because that's how we learn best. So you'll often hear the guests talking about what *didn't* work in their projects, why, and how they overcame these challenges. Because, in the end, we're all lifelong learners! My name is Alex Andorra by the way, and I live in Estonia. By day, I'm a data scientist and modeler at the https://www.pymc-labs.io/ (PyMC Labs) consultancy. By night, I don't (yet) fight crime, but I'm an open-source enthusiast and core contributor to the python packages https://docs.pymc.io/ (PyMC) and https://arviz-devs.github.io/arviz/ (ArviZ). I also love https://www.pollsposition.com/ (election forecasting) and, most importantly, Nutella. But I don't like talking about it – I prefer eating it. So, whether you want to learn Bayesian statistics or hear about the latest libraries, books and applications, this podcast is for you -- just subscribe! You can also support the show and https://www.patreon.com/learnbayesstats (unlock exclusive Bayesian swag on Patreon)!

Share BITESIZE | Real-World Applications of Models in Public Health, with Adam Kucharski

Sign up to save your podcasts

BITESIZE | Real-World Applications of Models in Public Health, with Adam Kucharski

BITESIZE | Real-World Applications of Models in Public Health, with Adam Kucharski

More shows like Learning Bayesian Statistics

Data Skeptic

Talk Python To Me

Quanta Science Podcast

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

Super Data Science: ML & AI Podcast with Jon Krohn

Python Bytes

NVIDIA AI Podcast

Data Engineering Podcast

DataFramed

The Numberphile Podcast

Google DeepMind: The Podcast

COMPLEXITY

The Real Python Podcast

Latent Space: The AI Engineer Podcast

Complex Systems with Patrick McKenzie (patio11)