Explores dominant balance analysis in solving the quintic polynomial, revealing insights into root behavior and the importance of symbolic expressions.
Explores logistic regression fundamentals, including cost functions, regularization, and classification boundaries, with practical examples using scikit-learn.
Explores model interpretation, compilation via partial evaluation, function calls, and the transition to partial evaluation, emphasizing the importance of model interpreters in supporting modeling languages.
Covers the Augmented Reality Sandbox, exploring depth-sensing equipment, dichotomies, Python scripting for 3D interactions, and hardware performance measurement methods.
