Models and algorithms are the backbone of artificial intelligence. Join Michael Jolley as he explains how AI models, and specifically machine learning models work and how we classify them into groups like generative versus discriminative, classification and regression, or supervised learning, unsupervised learning, and reinforcement learning.

🧠 Want to learn more about AI on Windows?
https://aka.ms/AAsk5sv

🪟 Learn more about building for Windows
https://aka.ms/wdyt/wdc

📃 Check out our Windows Developer Blog
https://aka.ms/wdyt/blog

🔨 Learn more about building on Windows
https://aka.ms/wdyt/buildon

00:00 – Introduction
00:08 – A Brief History of AI Models
00:39 – The Difference Between Algorithms and Models
01:57 – AI Models vs Machine Learning Models
02:58 – Supervised vs Unsupervised vs Reinforcement Learning Models
05:33 – Generative vs Discriminative Models
08:06 – Classification vs Regression Models

#artificialintelligence #ai #genai #aimodels #windows

source