Choosing embedding lag and why it matters: Michael Small
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Climate meets Network Science Exploring extreme events via a complex network- Jürgen Kurths
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Equation and parameter free dynamical modeling of natural time series
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But what is quantum computing? (Grover's Algorithm)
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Stanford CS229: Machine Learning - Linear Regression and Gradient Descent | Lecture 2 (Autumn 2018)
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StatQuest: Principal Component Analysis (PCA), Step-by-Step
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Koopman Theory + Embeddings
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ROC and AUC, Clearly Explained!
30:43