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Machine Learning: How Did We Get Here?

Machine Learning: How Did We Get Here?

🔄 Data last refreshed 19 hours ago
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Ratings
10
Avg rating
★ 4.7 /5
Episodes
14
Cadence
1 ep/wk
Latest episode
2 months ago
🧰 Free analysis for Machine Learning: How Did We Get Here?
🕵️ Fake follower check 📊 Engagement rate 💰 What they charge

💡 Facts

📤Posts about per week.

👥 Audience demographics

Estimated

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

Gender split
Male 74% Female 26%
Age · peak 18-24
13-178%
18-2435%
25-3429%
35-4418%
45+10%
Top geographies
  • United States34%
  • India11%
  • United Kingdom8%
  • Brazil6%
  • Indonesia5%
Likely interests
TechnologyGadgetsSoftwareGaming

💚 Brand affinity

Estimated

Brands Machine Learning: How Did We Get Here?'s audience is most likely to respond to — from detected sponsorships in this niche.

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

About

Tom Mitchell literally wrote the book on machine learning. In this series of candid conversations with his fellow pioneers, Tom traces the history of the field through the people who built it. Behind the tech are stories of passion, curiosity, and humanity. Tom Mitchell is the University Founders Professor at Carnegie Mellon University, a Digital Fellow at the Stanford Digital Economy Lab, and the author of Machine Learning, a foundational textbook on the subject. This podcast is produced by the Stanford Digital Economy Lab.

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