Partial Derivatives: Understanding Tangents

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Explores derivatives, tangents, and elementary function rules in general mathematics.

Explores finding the equation of the tangent line to a function's graph at a point.

Covers derivatives and continuity in multivariable functions, emphasizing the importance of partial derivatives.

Covers the analysis of functions, composition, and mathematical induction.

Covers the properties and operations of convex functions.

Covers the concept and calculation of directional derivatives in multivariable calculus.

Explores the role of graphs in deep learning, focusing on their structure, applications, and techniques for processing graph data.

Explores real functions, their graphs, properties, and transformations, including symmetry and surjection.

Covers graphical models for probabilistic distributions using graphs, nodes, and edges.

Covers graph properties, representations, and traversal algorithms using BFS and DFS.