Open Curriculum

AI & Machine Learning Learning Path Navigator

Background

Specialization Target

Hours / Week: 10h

160h Remaining Work

16 wks Est. Timeline

28% Readiness Score

3 / 14 Skills 21%

Completed Skill

Required Target Path

Elective Skill

Currently Inspected

Linear Algebra Basics

Stage 1 · Foundations

Vectors, matrices, dot products, eigenvalues, and matrix transformations essential for neural operations.

Prerequisites

Intuition & Core Equations

y = W·x + b (Linear Layer Projection)

Hands-on Starter Task

Mini-Benchmark: Write matrix multiplication from scratch in pure Python, then profile against NumPy matmul.

Curated Free Resources

Hands-on projects required to complete this specialization.