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Artificial Intelligence Overview

Session 1: Foundations of Logic
  • 1 - Artificial Intelligence Preview (03:49)
  • 2 - What Is Artificial Intelligence? (11:45)
  • 3 - Supervised Learning (15:22)
  • 4 - Neural Networks and Deep Learning (12:22)
Session 2: Machine Learning Mechanics
  • 5 - Training Neural Networks (12:28)
  • 6 - How to make an AI read your handwriting (LAB) (17:16)
  • 7 - Unsupervised Learning (12:34)
  • 8 - Natural Language Processing (13:28)
  • 9 - Make an AI sound like a YouTuber (LAB) (15:59)
  • 10 - Reinforcement Learning (11:27)
Session 3: Perception & Interaction
  • 11 - Symbolic AI (13:21)
  • 12 - Robotics (10:11)
  • 13 - AI Playing Games (11:30)
  • 14 - Let's make an AI that destroys video games (13:25)
  • 15 - Humans and AI working together (10:12)
  • 16 - How YouTube knows what you should watch (51:00)
Session 4: Ethics & The Future
  • 17 - Let's make a movie recommendation system (14:40)
  • 18 - Web Search (11:14)
  • 19 - Algorithmic Bias and Fairness (11:19)
  • 20 - Cats vs Dogs? Let's make an AI to settle this (13:04)
  • 21 - The Future of Artificial Intelligence (10:59)

1 - Artificial Intelligence Preview

Welcome to Crash Course Artificial Intelligence! In this series host Jabril Ashe will teach you the logic behind AI by tracing its history and examining how it’s being used today. We’ll even show you how to create some of your own AI systems with the help of co-host John Green Bot! We’ll also spend several episodes on an area of AI known as machine learning which has skyrocketed in popularity in recent years. AI is everywhere right now and has the potential to do amazing things in our lives. But there’s also great potential for peril, which is why we believe it is more important than ever that developers, and non-developers alike, understand AI.

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