Machine Learning & Simulation

Machine Learning & Simulation

YouTube @machinelearningsimulation Lifestyle (sociology) 📍 Germany
Subscribers
33.9K
🔥 Buzz rank
#7,822 ▼3083
Total Views
1.66M
Videos
211
Channel age
5 yrs
Est. monthly earnings
$13 – $25
📊 Content format · share of recent views
⚡ 24%
▶️ 76%
⚡ Shorts 24%  ·  ▶️ Long-form 76% — brands place & price integrations differently across the two.
How we estimate
~4.4K recent monthly views × an estimated ad RPM of $3.85–$7.43 per 1,000 views — adjusted for Lifestyle (sociology) content and a DE audience. About 24% of recent views are Shorts, valued separately at the much lower Shorts ad rate. Yearly ≈ $156 – $300. Excludes sponsorships, memberships & merch. Full methodology →

Known for

▶️ Featured Video

43.3K views

📈 Performance

Typical video
1.2K–3.7K views
Median 2.1K — the reliable floor a brand can expect, not just the headline average.
Upload rhythm
0.3× / week
Most active on Mondays — consistent output keeps an engaged, sponsor-ready audience.
3.6K
Avg views / video
111
Avg likes
10
Avg comments
3.34%
Engagement rate
0.3
Uploads / week
7.9K
Lifetime avg / video
49
Views / subscriber
24%
Shorts (recent views)
Engagement rate = (likes + comments) ÷ views across recent videos.

💡 Did you know?

🗓️Joined YouTube in 2021 — 5 years ago.
🏆Ranked #6,453 among all influencers on SocialDB.
🎯Top Lifestyle (sociology) influencer — #1,297 in the niche.
👁️Averages 3.6K views per video.
📤Posts about 0.3× per week.
💬3.34% engagement rate.
🚀Gained 100 subscribers in the last 7 days.
📱24% of recent uploads are Shorts.

🛡️ Audience credibility

76/100 Good
  • Est. 85% real, active audience · Low fake-follower risk.
  • Healthy view-through — roughly 11% of subscribers watch each video.
  • 3.34% engagement — around average for this size.
Est. authentic audience
85%
Fake-follower risk
Low

Heuristic estimate from view-through, engagement vs size and recent growth — a screening signal, not a guarantee.

👥 Audience demographics

Estimated

Modeled from this creator's niche, platform & region — a planning estimate, not connected analytics.

Gender split
Male 20% Female 80%
Age · peak 25-34
13-1710%
18-2429%
25-3433%
35-4418%
45+10%
Top geographies
  • Germany54%
  • Austria10%
  • Switzerland7%
  • United States6%
  • United Kingdom3%
Likely interests
EntertainmentLifestyleTrending

💚 Brand affinity

Estimated

Brands Machine Learning & Simulation's audience is most likely to respond to — from detected sponsorships in this niche.

Amazon Affiliate Keeps Patreon Shopify Nebula BetterHelp Audible Genshin Impact Surfshark Incogni

About

Explaining topics of 🤖 Machine Learning & 🌊 Simulation with intuition, visualization and code.

------

Hey,

welcome to my channel of explanatory videos for Machine Learning & Simulation. I cover topics from Probabilistic Machine Learning, High-Performance Computing, Continuum Mechanics, Numerical Analysis, Computational Fluid Dynamics, Automatic Differentiation and Adjoint Methods. Many videos include hands-on coding parts in Python, Julia, or C++. The videos also showcase the application of the topics in modern libraries like JAX, TensorFlow Probability, NumPy, SciPy, FEniCS, PETSc and many more.

All material is also available on the GitHub Repo of the channel: https://github.com/Ceyron/machine-learning-and-simulation

Enjoy :) And please leave feedback.

If you liked the videos, feel free to support the channel on Patreon: https://www.patreon.com/MLsim

If you want to make a one-time donation, you can do so via PayPal: https://paypal.me/FelixMKoehler

📸 Gallery

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