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Machine Learning & Artificial Intelligence: Crash Course Computer Science #34

2017-11-01

[public] 670K views, 19.6K likes, 232 dislikes audio only

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So we've talked a lot in this series about how computers fetch and display data, but how do they make decisions on this data? From spam filters and self-driving cars, to cutting edge medical diagnosis and real-time language translation, there has been an increasing need for our computers to learn from data and apply that knowledge to make predictions and decisions. This is the heart of machine learning which sits inside the more ambitious goal of artificial intelligence. We may be a long way from self-aware computers that think just like us, but with advancements in deep learning and artificial neural networks our computers are becoming more powerful than ever.

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Introduction
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What is Machine Learning
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Machine Learning Example
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Decision Trees
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Machine Learning
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Machine Learning Problems
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Deep Learning
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Deep Neural Nets
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Weak AI
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IBMs Watson
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Reinforcement Learning
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PBS Voices Produced in association with PBS Digital Studios
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Thought Café Art and Animation by Thought Cafe
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Computer Science by CrashCourse
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