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OP

Optimization for AI

Gradient descent, loss functions, and the engine that trains every ML model.

3 lessons ~2 hours 180 XP

Chapter 1: Optimization Foundations

What optimization means and why it is the core of ML training.

1.1

What is Optimization?

The problem every ML model solves.

Soon+50 XP
1.2

Loss Functions and Cost Functions

How we measure how wrong a model is.

Soon+60 XP
1.3

Gradient Descent

The algorithm that trains neural networks.

Soon+70 XP