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Sketch 1: the Data Hierarchy

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Sketch 2: What is AI?

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Sketch 3: AI use cases

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Sketch 4: Why Now?

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Sketch 5: What is Machine Learning?

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Sketch 6: the Limitations of AI

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Sketch 9: Neural Networks

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Sketch 12: the Dangers of ML

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Sketch 13: ML accuracy - true negatives and false positives

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Sketch 14: Understanding the decisions of ML

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Sketch 17: Handwriting Recognition

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Sketch 18: Image Recognition with CNNs

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Sketch 19: Transfer Learning with CNNs

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Sketch 20: Image Segmentation with R-CNNs

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Sketch 21: Facial Recognition

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Sketch 22: Generative Adversarial Networks - GANs

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Sketch 23: Speech Recognition

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Sketch 24: Natural Language Processing - NLP

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Sketch 26: Chatbots and Digital Assistants

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Sketch 27: Modelling text with RNNs

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Sketch 28: Sequence-to-Sequence problems - language translation

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Sketch 29: Text Generation with ChatGPT

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Sketch 30: Are we really all doomed?

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Sketch 7: AI algorithms

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Sketch 8: Machines... Learning?!

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Sketch 10: Using Neural Networks

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Sketch 11: Machine Learning Toolbox

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Sketch 15: Using ML in your business

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Sketch 16: Data Wrangling

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Sketch 25: Text Classifiers

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