Covers continuous spatial phenomena and isovalues in geographic information systems, including interpolation methods and examples of isovalues curves for various environmental factors.
Covers Multi-Layer Perceptrons (MLP) and their application from classification to regression, including the Universal Approximation Theorem and challenges with gradients.
