Math for AIGuide
The math behind AI: what you actually need to know
Linear algebra, calculus, probability and statistics: which parts of math matter for understanding and building AI, explained with intuition first.
AI Desk3 min read
Knowledge & Learning
Math for AI
Linear algebra, probability and optimization for practitioners.
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Math for AIGuide
Gradient descent explained with one simple example
The algorithm that trains almost every AI model, explained with a hiker in the fog and a few lines of Python: gradients, learning rates and why training can fail.
AI Desk3 min read
Machine LearningResearch
The Adam optimizer explained: the algorithm that trains most neural networks
Adam combined momentum with per-parameter learning rates and became the default way to train deep learning models. How it works, why it won and its known pitfalls.
AI Desk4 min read