74 episodes

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 Paris. By day, I'm a data scientist and modeler at the 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 PyMC and ArviZ. I also love 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 unlock exclusive Bayesian swag on Patreon!

This podcast uses the following third-party services for analysis:

Podcorn - https://podcorn.com/privacy

Learning Bayesian Statistics Learn Bayes Stats

    • Technology
    • 4.7 • 52 Ratings

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 Paris. By day, I'm a data scientist and modeler at the 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 PyMC and ArviZ. I also love 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 unlock exclusive Bayesian swag on Patreon!

This podcast uses the following third-party services for analysis:

Podcorn - https://podcorn.com/privacy

    Artificial Intelligence, Deepmind & Social Change, with Julien Cornebise

    Artificial Intelligence, Deepmind & Social Change, with Julien Cornebise

    This episode knuckles down to different sides of the tech world, research, and application of algorithms where you get super excited about image recognition and AI-generated art.

    • 1 hr 5 min
    Teaching Bayes for Biology & Biological Engineering, with Justin Bois

    Teaching Bayes for Biology & Biological Engineering, with Justin Bois

    Justin bois, Professor of Biology at Caltech, tells us about why stats is helpful for biological studies, and how to best teach it

    • 1 hr 5 min
    Why, When & How to use Bayes Factors, with Jorge Tendeiro

    Why, When & How to use Bayes Factors, with Jorge Tendeiro

    A discussion about Bayes factors, Null Hypothesis Testing and the best ways to disagree

    • 53 min
    Probabilistic Machine Learning & Generative Models, with Kevin Murphy

    Probabilistic Machine Learning & Generative Models, with Kevin Murphy

    Kevin Murphy tells us what it's like working at Google Brain, and about his work on generative models, optimization and probabilistic machine learning

    • 1 hr 5 min
    Exoplanets, Cool Worlds & Life in the Universe, with David Kipping

    Exoplanets, Cool Worlds & Life in the Universe, with David Kipping

    Is there life in the Universe? It doesn’t get deeper than this, does it? And yet, why do we care about that? In the very small chance that there is other life in the Universe, we have even less chance to discover it, talk to it and meet it. So, why do we care?

    • 1 hr
    Uncertainty Visualization & Usable Stats, with Matthew Kay

    Uncertainty Visualization & Usable Stats, with Matthew Kay

    A tour of human-computer interactions and information visualization, especially in uncertainty visualization.

    • 1 hr 1 min

Customer Reviews

4.7 out of 5
52 Ratings

52 Ratings

Iameteore ,

Coolest show around

Super inspiring discussions with awesome tips and real life experience !
Cant wait for the next episode to come out 🔥

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