What Is a Vector? (Boring Maths for AI - The Maths Behind AI — Video 1) скачать в хорошем качестве

What Is a Vector? (Boring Maths for AI - The Maths Behind AI — Video 1)

Vectors are the first thing that trips people up before an AI course. This video makes them boring — which is exactly what they should be. We cover what a vector actually is, how to think about n-dimensional space without losing your mind, how to measure a vector's length using L1 and L2 norms, and why everything in a neural network — text, images, data, weights — is a vector. This is Video 1 of Boring Maths for AI: a no-hype series covering the mathematics you need before starting Andrew Ng's Deep Learning Specialisation or any serious ML course. No face. No music. No magic. Just the maths. —— What's covered: 0:00 What a vector is 0:30 You already know this 1:10 The definition 2:05 Geometry in 2D — and why to let go of it 3:20 N-dimensional space 4:15 Vector norms — L1 and L2 7:00 Why AI is just vectors all the way down 9:30 Text, images, and tabular data as vectors 11:30 What's next: dot products —— This series is designed to unlock: — Andrew Ng's Deep Learning Specialisation (Coursera) — MIT 6.S191 — fast.ai — Imperial College Mathematics for Machine Learning —— Video 2: Dot Products — two vectors, one number, runs inside every neuron. Subscribe so you don't miss it.