Programming Thymio with Aseba Studio

Related lectures (31)

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Explores principal components, covariance, correlation, choice, and applications in data analysis.

Explores copulas in multivariate statistics, covering properties, fallacies, and applications in modeling dependence structures.

Explores multiple integrals, techniques, properties, and center of gravity calculation in various domains.

Explores generalization in deep learning, covering model complexity, implicit bias, and the double descent phenomenon.

Explores integration by substitution with proofs and examples on anti-derivatives and function equivalence.

Covers the concept of inductive series and their convergence conditions.

Covers changing variables in integrals with a focus on exponential functions.

Covers the Implicit Functions Theorem, providing a general understanding of implicit functions.

Covers derivatives, continuity, Rolle's Theorem, function examples, and extrema.

Covers the Gradient Young Theorem in the calculus of variations, discussing proofs and applications.