Von Neumann on how games featuring partial information, chance, and deception will make you a better decision-maker.
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Go ahead, click. I promise you won't be outraged.
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Part 1: A primer on IID, exchangeability, and Bayesian causality.
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Part 2: A primer on IID, exchangeability, and Bayesian causality.
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Get in on the ground floor now.
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Part 3: A primer on IID, exchangeability, and Bayesian causality.
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The typical machine learning playbook and why it sucks.
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If Martin Luther were a modeler, he'd have written this.
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Rotation invariant Christmas trees are trending this year.
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A rough Internet guide to interventions in causal models.
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How deep causal generative modeling could address algorithmic (un)fairness
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Why deep learning does so well at generating natural language, and why it doesn't.
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