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Related lectures (29)

Introduction to Rhino Surfaces and Meshes

Introduces working with surfaces, polysurfaces, and solids in Rhino, covering rendering, material editing, and mesh creation.

Distance Axioms

Covers the concept of distance in the plane, distance axioms, triangle construction, and triangle side properties.

Intrinsic Geometry of Regular Surfaces

Explores the intrinsic geometry of regular surfaces and isometric transformations, including spheres and cylinders.

Projected Gradient Descent

Explores Projected Gradient Descent and related optimization methods using Bregman Divergence.

Norme, Cauchy-Schwarz Inequality

Covers the definition of norm, distance between vectors, and Cauchy-Schwarz inequality.

In Silico Neuroscience: Ion Channels and Neuronal Models

Explores detailed modeling of ion channels and neuronal morphologies in in silico neuroscience, covering neuron classification, ion channel kinetics, and experimental observations.

Three-Dimensional Movement: Speed and Acceleration

Explores the dynamics of a material point in three dimensions, emphasizing speed and acceleration.

Gaussian Naive Bayes & K-NN

Covers Gaussian Naive Bayes, K-nearest neighbors, and hyperparameter tuning in machine learning.

Supervised Learning: k-NN and Decision Trees

Introduces supervised learning with k-NN and decision trees, covering techniques, examples, and ensemble methods.

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