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Machine Learning & Simulation

Machine Learning & Simulation

33.3K
Subscribers count
1.62M
Views count
210
Uploads
$11
Estimated earnings per week
DE
Country

YouTube Channel Stats & Analytics History for Machine Learning & Simulation

Weekly gained views for the last 12 weeks

Weekly gained subscribers for the last 12 weeks

Statistics summary for YouTube channel Machine Learning & Simulation

Date Views Estimated earnings Subscribers Uploads
2026-03-16 Mon +718 1.59M 33K 210
2026-03-17 Tue +1.21K 1.6M 33K 210
2026-03-18 Wed +1.04K 1.6M 33K 210
2026-03-19 Thu +499 1.6M 33K 210
2026-03-20 Fri +1.62K 1.6M 33K 210
2026-03-21 Sat +689 1.6M 33K 210
2026-03-22 Sun +1.02K 1.6M 33K 210
2026-03-23 Mon +725 1.6M +100 33.1K 210
2026-03-24 Tue +974 1.6M 33.1K 210
2026-03-25 Wed +920 1.6M 33.1K 210
2026-03-26 Thu +1.1K 1.6M 33.1K 210
2026-03-27 Fri +815 1.6M 33.1K 210
2026-03-28 Sat +881 1.61M 33.1K 210
2026-03-29 Sun +725 1.61M 33.1K 210
2026-03-30 Mon +851 1.61M 33.1K 210
2026-03-31 Tue +1.09K 1.61M 33.1K 210
2026-04-01 Wed +626 1.61M 33.1K 210
2026-04-02 Thu +884 1.61M +100 33.2K 210
2026-04-03 Fri +786 1.61M 33.2K 210
2026-04-04 Sat +1.07K 1.61M 33.2K 210
2026-04-05 Sun +540 1.61M 33.2K 210
2026-04-06 Mon +884 1.61M 33.2K 210
2026-04-07 Tue +620 1.61M 33.2K 210
2026-04-08 Wed +1.01K 1.61M 33.2K 210
2026-04-09 Thu +663 1.62M 33.2K 210
2026-04-10 Fri +539 1.62M 33.2K 210
2026-04-11 Sat +815 1.62M 33.2K 210
2026-04-12 Sun +671 1.62M 33.2K 210
2026-04-13 Mon +656 1.62M +100 33.3K 210
2026-04-14 Tue LIVE +720 1.62M 33.3K 210
Gained views Estimated earnings Gained subscribers
Daily Averages +817 +9
Last 30 days +25.35K $11 +300
Last updated at 2026-04-14

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About Machine Learning & Simulation

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