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Learning Bayesian Statistics

Learning Bayesian Statistics

🔄 Data last refreshed 22 hours ago
🤝

Make a deal with Learning Bayesian Statistics

🔒 Paid proposals held safely in escrow — released only when the work's approved.

Every booking is a normal escrow-protected deal.

Ratings
69
Avg rating
★ 4.7 /5
Episodes
209
Cadence
0.9 ep/wk
Latest episode
2 days ago
🧰 Free analysis for Learning Bayesian Statistics
🕵️ Fake follower check 📊 Engagement rate 💰 What they charge

💡 Facts

📤Posts about 0.9× per week.

👥 Audience demographics

Estimated

Modeled from this creator's niche, platform & region — a planning estimate, not connected analytics.

Gender split
Male 77% Female 23%
Age · peak 18-24
13-1712%
18-2434%
25-3428%
35-4417%
45+9%
Top geographies
  • United States34%
  • India11%
  • United Kingdom8%
  • Brazil6%
  • Indonesia5%
Likely interests
TechnologyGadgetsSoftwareGaming

💚 Brand affinity

Estimated

Brands Learning Bayesian Statistics's audience is most likely to respond to — from detected sponsorships in this niche.

Keeps Genshin Impact Shopify Dbrand Incogni Fiverr Epidemic Sound AG1 Saily Surfshark

About

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!

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