Machine Learning & Simulation✓
🔄 Data last refreshed 19 hours ago
🤝
Make a deal with Machine Learning & Simulation
🔒 Paid proposals held safely in escrow — released only when the work's approved.
Subscribers
34.1K
Total Views
1.7M
Videos
215
Channel age
5 yrs
Known for
▶️ Featured Video
43.3K views
🎯 Reach quality
Subscriber activation · Strong
10.7%
Share of subscribers who watch a typical recent video (avg views ÷ subscribers) — the real reach behind the subscriber count, and a quick check on whether those subscribers are still active rather than a vanity number.
Recent vs all-time
-54%
Recent videos average 3.6K vs an all-time 7.8K/video — recent uploads run below the all-time norm — much of the lifetime views sit in an older catalogue.
📈 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
0.3
Uploads / week
7.8K
Lifetime avg / video
49
Views / subscriber
24%
Shorts (recent views)
💡 Facts
🗓️Joined YouTube in 2021 — 5 years ago.
🏆Ranked #18,644 among all influencers on SocialDB.
🎯Top Lifestyle (sociology) influencer — #4,004 in the niche.
👁️Averages 3.6K views per video.
📤Posts about 0.3× per week.
📍Based in Germany.
💚 Brand affinity
EstimatedBrands Machine Learning & Simulation's audience is most likely to respond to — from detected sponsorships in this niche.
Shopify
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
Recent videos
Neural Emulator Superiority: A lightweight introduction
1.6K views · 2 months ago
2D & 3D KS Equation in JAX using Exponax
1.6K views · 6 months ago
On Autoregressive Neural Emulators for PDEs | Talk @ IRMA Strasbourg
1.9K views · 1 year ago
Transformer Neural Operator in JAX
2.5K views · 1 year ago
Full Lyapunov Spectrum of Chaotic Lorenz System using JAX
2K views · 1 year ago
Podcast with @JousefM | My Channel & Research, Autodiff, Physics & Deep Learning, Education...
1.2K views · 1 year ago
APEBench Talk @ Pasteur Labs Journal Club
1.1K views · 1 year ago
APEBench Quickstart
932 views · 1 year ago
Largest Lyapunov Exponent using Autodiff in JAX/Python
2K views · 1 year ago
Lyapunov Exponent in NumPy
3.7K views · 1 year ago
Autoregressive Neural Emulator for Lorenz in JAX
2.1K views · 1 year ago
Parallel Lorenz Simulation in JAX
2.4K views · 1 year ago
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Frequently asked questions
How much does Machine Learning & Simulation charge for a sponsorship?
Machine Learning & Simulation hasn't published fixed prices yet. Send a proposal through SocialDB and agree terms directly — your payment is held in escrow until the work is approved.
How do I contact Machine Learning & Simulation for a brand deal or collaboration?
Send a paid deal or collab request right here on SocialDB — we notify Machine Learning & Simulation, and once they accept, your payment is held safely in escrow and released when the work is approved. You don't need to track down an email.
How many subscribers does Machine Learning & Simulation have?
Machine Learning & Simulation has 34,100 subscribers on YouTube.
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