YouTube niche

How much do Machine Learning Talks YouTube channels make?

Small Machine Learning Talks channels are getting videos with 4.8M views and earning real money from YouTube ads.

Channels in this niche typically earn $214 to $570 total from all their videos, based on 713 videos and 53 channels we analyzed.

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Machine Learning Talks YouTube niche earnings and breakout examples
Channels studied
53
713 videos tracked
Highest earner (all time)
~$687.2K est.
$374.8K to $999.5K total
Best single video earned
~$17K est.
$9.3K to $24.7K per video
Most-viewed video
4.8M views
from a 373K subscriber channel

Earnings breakdown

Distribution stats from 713 videos and 53 channels analyzed.

Average channel total
$214 to $570
Estimated all-time total per channel
Top 25% of channels earn
$53 to $141
Better-performing channels (all time)
Top 10% of channels earn
$755 to $2K
Highest-performing channels (all time)
Average per video
$76 to $203
Typical single-video earnings
Average views per video
25.3K
May be higher due to viral hits
Top 25% of videos get
11.8K
Views on better-performing videos
Top 10% of videos get
41.2K
Views on the biggest videos
If you post 2 videos a month
$152 to $406
At this niche's typical per-video earnings
How often creators post
new video every 2.2 weeks
Average for channels in this niche
Is this niche growing?
Views are declining
Based on recent videos in this niche

Explore this niche

Browse Tutorials & Education YouTube niches, compare earnings across the Niche Finder analytics hub, or review the top channels below. We track 53 channels in Machine Learning Talks; this page highlights the highest-view examples.

SandboxAQ
SandboxAQ
373K subscribers · about 27 uploads a month
~$687.2K total earned est.$374.8K to $999.5K all time124.9M views
Lazy Programmer
Lazy Programmer
78.5K subscribers · about 1 upload a month
~$480K total earned est.$261.8K to $698.2K all time87.3M views
Bloomberg Media Studios
Bloomberg Media Studios
9.8K subscribers · about 4 uploads a month
~$361K total earned est.$196.9K to $525.1K all time65.6M views
Darktrace
Darktrace
6.6K subscribers · about 4 uploads a month
~$286K total earned est.$156K to $416K all time52M views
Blues
Blues
1.8K subscribers · about 2 uploads a month
~$251.3K total earned est.$137.1K to $365.6K all time45.7M views
Usercentrics
Usercentrics
53.8K subscribers · about 4 uploads a month
~$246.2K total earned est.$134.3K to $358K all time44.8M views

53 total Machine Learning Talks YouTube channels tracked

Breakout videos

Videos that pulled in far more views than their channels had subscribers.

Videos like these are AI-made today. NoodleTomato writes, voices, and renders a Machine Learning Talks video for you in minutes.

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Why this niche works

Top Machine Learning Talks videos usually run about 17 to 29 minutes and earn an estimated $76 to $203 per video, which works out to $152 to $406 a month if you post at this niche's typical pace of 2 videos a month. The best ones below pulled in far more views than their channels had subscribers, the clearest sign a brand new channel can still land a hit here.

The strongest recent example is All Machine Learning algorithms explained in 17 min, which reached 2M views from a 132K subscriber channel. Channels in Tutorials & Education often post about new video every 2.2 weeks, so consistency matters as much as one viral upload.

Videos are usually 17 to 29 minBased on 53 channels

Typical Machine Learning Talks video: 23 min · ~25.3K views per upload (niche average).

Compare with similar niches

See how Machine Learning Talks stacks up against nearby opportunities.

Similar niches

Topics with overlapping audience and content patterns.

Compared with adjacent niches

Related opportunities in neighboring categories.

How the numbers work

How earnings are estimated, what is public, and when this page was last updated.

Last updated
Jun 11, 2026
Data source
Public YouTube discovery
Built from publicly available channels and videos matched to this niche.
Confidence
Confidence is highest when a niche has many long-form breakout videos with known subscriber counts. Percentile ranges are precomputed from the analyzed sample; thin niches may show wider ranges or missing percentiles.
  • We take a video's public view count and estimate how much ad revenue it earned, using a typical pay-per-view rate for this niche. The result is a range (low to high).
  • A channel's total estimated earnings are the sum of all its individual video estimates, across the channel's entire history.
  • These estimates assume all views earned ad revenue. In reality many channels have not turned on ads, so real earnings are usually lower.
  • Actual earnings depend on the creator's monetization status, audience location, ad formats, sponsorships, and more.
  • Verified data comes from visible YouTube channel pages and video listings. Estimated data is filled in from related channels when direct info was not available.
  • Data is independently sourced from public information. NoodleTomato is not affiliated with or endorsed by YouTube.

Read the full methodology on the Niche Finder methodology page.

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More in Tutorials & Education

YouTube shares ad revenue with creators who monetize their channels. Estimated earnings are calculated independently by NoodleTomato from public view data and estimated rate ranges. They are not actual earnings, are not from YouTube, and may not reflect real revenue. Data independently sourced. Not affiliated with or endorsed by YouTube.

How we estimate ·