Jeremy Howard: fast.ai Deep Learning Courses and Research | Lex Fridman Podcast #35
Published August 27, 2019
At a glance
Views
136,030
Likes
4,145
Comments
206
Performance vs. channel
All-time outlier score
Engagement rate
More features coming
We're working on new analytics and tools. Stay tuned.
About
Jeremy Howard is the founder of fast.ai, a research institute dedicated to make deep learning more accessible. He is also a Distinguished Research Scientist at the University of San Francisco, a former president of Kaggle as well a top-ranking competitor there, and in general, he's a successful entrepreneur, educator, …
- Published
- August 27, 2019
- Made for kids
- No
More features coming
We're working on new analytics and tools. Stay tuned.
How Jeremy Howard: fast.ai Deep Learning Courses and Research | Lex Fridman Podcast #35 is doing
It has 136K views in total. It ranks #11,738,782 among tracked YouTube videos by views.
Key facts about Jeremy Howard: fast.ai Deep Learning Courses and Research | Lex Fridman Podcast #35
- Total views
- 136K
- Total likes
- 4.14K
- Total comments
- 206
- Published
- August 27, 2019
- Global rank by views
- #11,738,782
Frequently asked questions
How many views does Jeremy Howard: fast.ai Deep Learning Courses and Research | Lex Fridman Podcast #35 have?
Jeremy Howard: fast.ai Deep Learning Courses and Research | Lex Fridman Podcast #35 has 136,030 views, 4,145 likes and 206 comments, ranking #11,738,782 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.