Vladimir Vapnik: Statistical Learning | Lex Fridman Podcast #5
Published November 16, 2018
At a glance
Views
106,451
Likes
2,301
Comments
132
Performance vs. channel
All-time outlier score
Engagement rate
More features coming
We're working on new analytics and tools. Stay tuned.
About
Vladimir Vapnik is the co-inventor of support vector machines, support vector clustering, VC theory, and many foundational ideas in statistical learning. He was born in the Soviet Union, worked at the Institute of Control Sciences in Moscow, then in the US, worked at AT&T, NEC Labs, Facebook AI Research, and now is a p…
- Published
- November 16, 2018
- Made for kids
- No
More features coming
We're working on new analytics and tools. Stay tuned.
How Vladimir Vapnik: Statistical Learning | Lex Fridman Podcast #5 is doing
It has 106K views in total. It ranks #12,034,932 among tracked YouTube videos by views.
Key facts about Vladimir Vapnik: Statistical Learning | Lex Fridman Podcast #5
- Total views
- 106K
- Total likes
- 2.30K
- Total comments
- 132
- Published
- November 16, 2018
- Global rank by views
- #12,034,932
Frequently asked questions
How many views does Vladimir Vapnik: Statistical Learning | Lex Fridman Podcast #5 have?
Vladimir Vapnik: Statistical Learning | Lex Fridman Podcast #5 has 106,451 views, 2,301 likes and 132 comments, ranking #12,034,932 among tracked YouTube videos by views.
How accurate are these YouTube video analytics?
View, like, and comment counts come from YouTube's public API and refresh regularly. Growth and revenue figures are estimates built from tracked historical data, so they can differ slightly from what the creator sees privately in YouTube Studio.
What is the outlier score?
How this video's views compare to the channel's usual Shorts or long-form video. A 2x score means double the usual views for that channel, 0.5x means half.
What is engagement rate and how is it calculated?
Likes and comments per view, compared to this channel's typical engagement rate — shown as above or below what's usual for the channel.
How is the revenue estimate calculated?
It's a rough public estimate based on a $0.7–$2.0 CPM (revenue per 1,000 views) applied to view count — not actual creator earnings, which depend on ad rates, audience geography, and monetization settings YouTube doesn't expose publicly.
Is this YouTube video analytics checker free?
Yes. You get 10 free channel and video analytics lookups per 24 hours without an account — logging in, which is also free, removes that limit entirely.