Daphne Koller: Biomedicine and Machine Learning | Lex Fridman Podcast #93
Published May 5, 2020
At a glance
Views
101,036
Likes
3,091
Comments
203
Performance vs. channel
All-time outlier score
Engagement rate
More features coming
We're working on new analytics and tools. Stay tuned.
About
Daphne Koller is a professor of computer science at Stanford University, a co-founder of Coursera with Andrew Ng and Founder and CEO of insitro, a company at the intersection of machine learning and biomedicine. Support this podcast by signing up with these sponsors: - Cash App - use code "LexPodcast" and download: - …
- Published
- May 5, 2020
- Made for kids
- No
More features coming
We're working on new analytics and tools. Stay tuned.
How Daphne Koller: Biomedicine and Machine Learning | Lex Fridman Podcast #93 is doing
It has 101K views in total. It ranks #11,991,919 among tracked YouTube videos by views.
Key facts about Daphne Koller: Biomedicine and Machine Learning | Lex Fridman Podcast #93
- Total views
- 101K
- Total likes
- 3.09K
- Total comments
- 203
- Published
- May 5, 2020
- Global rank by views
- #11,991,919
Frequently asked questions
How many views does Daphne Koller: Biomedicine and Machine Learning | Lex Fridman Podcast #93 have?
Daphne Koller: Biomedicine and Machine Learning | Lex Fridman Podcast #93 has 101,036 views, 3,091 likes and 203 comments, ranking #11,991,919 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.