Learning Bayesian Statistics Podcast Por Alexandre Andorra capa

Learning Bayesian Statistics

Learning Bayesian Statistics

De: Alexandre Andorra
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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. By day, I'm a Senior data scientist. 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 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!

2025 Alexandre Andorra Ciências
Episódios
  • #150 Fast Bayesian Deep Learning, with David Rügamer, Emanuel Sommer & Jakob Robnik

    #150 Fast Bayesian Deep Learning, with David Rügamer, Emanuel Sommer & Jakob Robnik
    Jan 28 2026

    • Support & get perks!

    • Proudly sponsored by PyMC Labs! Get in touch at alex.andorra@pymc-labs.com

    • Intro to Bayes and Advanced Regression courses (first 2 lessons free)

    Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work !


    Chapters:

    00:00 Scaling Bayesian Neural Networks
    04:26 Origin Stories of the Researchers
    09:46 Research Themes in Bayesian Neural Networks
    12:05 Making Bayesian Neural Networks Fast
    16:19 Microcanonical Langevin Sampler Explained
    22:57 Bottlenecks in Scaling Bayesian Neural Networks
    29:09 Practical Tools for Bayesian Neural Networks
    36:48 Trade-offs in Computational Efficiency and Posterior Fidelity
    40:13 Exploring High Dimensional Gaussians
    43:03 Practical Applications of Bayesian Deep Ensembles
    45:20 Comparing Bayesian Neural Networks with Standard Approaches
    50:03 Identifying Real-World Applications for Bayesian Methods
    57:44 Future of Bayesian Deep Learning at Scale
    01:05:56 The Evolution of Bayesian Inference Packages
    01:10:39 Vision for the Future of Bayesian Statistics

    Thank you to my Patrons for making this episode possible!

    Come meet Alex at the Field of Play Conference in Manchester, UK, March 27, 2026!

    Links from the show:


    David Rügamer:
    * Website
    * Google Scholar
    * GitHub

    Emanuel Sommer:
    * Website
    * GitHub
    * Google Scholar

    Jakob Robnik:
    * Google Scholar
    * GitHub
    * Microcanonical Langevin paper
    * LinkedIn
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    1 hora e 20 minutos
  • BITESIZE | Building Resilience in Modern Tech Careers

    BITESIZE | Building Resilience in Modern Tech Careers
    Jan 21 2026

    Today’s clip is from episode 149 of the podcast, with Alana Karen.

    This conversation explores the evolving landscape of technology, particularly in Silicon Valley, focusing on the cultural shifts due to mass layoffs, the debate over remote work, and the impact of AI on job roles and priorities. The discussion highlights the importance of adapting to these changes and preparing for the future by developing complex skills that AI cannot easily replicate.

    Get the full discussion here!

    • Join this channel to get access to perks:
    https://www.patreon.com/c/learnbayesstats

    • Intro to Bayes Course (first 2 lessons free): https://topmate.io/alex_andorra/503302
    • Advanced Regression Course (first 2 lessons free): https://topmate.io/alex_andorra/1011122

    Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work at https://bababrinkman.com/ !
    Exibir mais Exibir menos
    25 minutos
  • #149 The Future of Work in Tech, with Alana Karen

    #149 The Future of Work in Tech, with Alana Karen
    Jan 14 2026

    • Support & get perks!

    • Proudly sponsored by PyMC Labs! Get in touch at alex.andorra@pymc-labs.com

    • Intro to Bayes and Advanced Regression courses (first 2 lessons free)

    Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work !

    Chapters:

    11:37 The Hard Tech Era
    21:08 The Shift in Tech Work Culture
    28:49 AI's Impact on Job Security and Work Dynamics
    34:33 Adapting to AI: Skills for the Future
    45:56 Understanding AI Models and Their Limitations
    47:25 The Importance of Diversity in AI Development
    54:34 Positioning Technical Talent for Job Security
    57:58 Building Resilience in Uncertain Times
    01:06:33 Recognizing Diverse Ambitions in Career Progression
    01:12:51 The Role of Managers in Employee Retention
    01:26:55 Solving Complex Problems with AI and Innovation

    Thank you to my Patrons for making this episode possible!

    Links from the show:

    • Alana's latest book (Use code BAYESIAN for 10% off + a free interview preparation download PDF)
    • Alana’s Substack
    • Alana on Linkedin
    • Alana on Instagram
    • The Obstacle Is the Way – The Timeless Art of Turning Trials into Triumph
    • Courage Is Calling – Fortune Favours the Brave
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    1 hora e 33 minutos
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