What Is Artificial Intelligence? Crash Course AI #1
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Supervised Learning: Crash Course AI #2
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Neural Networks and Deep Learning: Crash Course AI #3
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Training Neural Networks: Crash Course AI #4
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How to make an AI read your handwriting (LAB) : Crash Course Ai #5
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Unsupervised Learning: Crash Course AI #6
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Natural Language Processing: Crash Course AI #7
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Make an AI sound like a YouTuber (LAB): Crash Course AI #8
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Reinforcement Learning: Crash Course AI#9
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Symbolic AI: Crash Course AI #10
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Robotics: Crash Course AI #11
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AI Playing Games: Crash Course AI #12
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Let's make an AI that destroys video games: Crash Course AI #13
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Humans and AI working together: Crash Course AI #14
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How YouTube knows what you should watch: Crash Course AI #15
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Let’s make a movie recommendation system: Crash Course AI #16
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Web Search: Crash Course AI #17
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Algorithmic Bias and Fairness: Crash Course AI #18
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Cats Vs Dogs? Let's make an AI to settle this: Crash Course Ai #19
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The Future of Artificial Intelligence: Crash Course AI #20
Description:
In 20 episodes, Jabril will teach you about Artificial Intelligence and Machine Learning! This course is based on a university-level curriculum. By the end of the course, you will be able to:
* Define, differentiate, and provide examples of Artificial Intelligence and three types of Machine Learning: supervised, unsupervised, and reinforcement* Understand how different AI and ML approaches can be combined to create compelling applications such as natural language processing, robotics, recommender systems, and web search* Implement several types of AI to classify images, generate text from examples, play video games, and recommend content based on past preferences* Understand the causes of algorithmic bias and audit datasets for several of these causes* Reason about how specific advances in AI may impact our world and your life, for better or for worse