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Classic Algorithmsfirst principles.

MACHINE LEARNING • CONCEPTS FIRST.

Chapter-by-chapter theory notes, step-by-step textbook exercises, video lectures, and SLO-aligned board examination prep for Classic Algorithms (Machine Learning).

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ML Foundations (17)Supervised Learning (21)Classic Algorithms (18)Unsupervised Learning (14)Advanced & Production ML (14)

Textbook Chapters4

Support Vector Machines

5 Lessons • Chapter 01

011.1 Linear SVM Classification

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021.2 Soft-Margin Classification

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031.3 Nonlinear SVMs & Kernels

INTERACTIVE LAB • 18 STEM WORKSTATIONS

Bridge High-School Science to Computational AI

Connect textbook physics, mathematics, and computing to real-world artificial intelligence models and symbolic solvers.

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Master

Classic Algorithmsfirst principles.

MACHINE LEARNING • CONCEPTS FIRST.

Support Vector Machines

Decision Trees

Ensemble Learning

Instance Based and Probabilistic Models

Support Vector Machines

Bridge High-School Science to Computational AI