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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.
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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
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