Machine Learning Fairness: Lessons Learned (Google I/O'19)
Published May 9, 2019
At a glance
Views
21,883
Likes
278
Comments
32
Performance vs. channel
All-time outlier score
Engagement rate
More features coming
We're working on new analytics and tools. Stay tuned.
About
ML fairness is a critical consideration in machine learning development. This session will present a few lessons Google has learned through our products and research and how developers can apply these learnings in their own efforts. Techniques and resources will be presented that enable evaluation and improvements to m…
- Published
- May 9, 2019
- Made for kids
- No
More features coming
We're working on new analytics and tools. Stay tuned.
How Machine Learning Fairness: Lessons Learned (Google I/O'19) is doing
It has 21.8K views in total. It ranks #13,658,737 among tracked YouTube videos by views.
Key facts about Machine Learning Fairness: Lessons Learned (Google I/O'19)
- Total views
- 21.8K
- Total likes
- 278
- Total comments
- 32
- Published
- May 9, 2019
- Global rank by views
- #13,658,737
Frequently asked questions
How many views does Machine Learning Fairness: Lessons Learned (Google I/O'19) have?
Machine Learning Fairness: Lessons Learned (Google I/O'19) has 21,883 views, 278 likes and 32 comments, ranking #13,658,737 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.