An intro to Probabilistic Programming with Ubers Pyro

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http://youtube.com/watch?v=ATaMq62fXno

Probabilistic programming languages are built to harness the predictive power of probability distributions. Instead of making them a feature, they use these distributions as primitives with their own set of operands that allow for the creation of stochastic control flows. Since the real world is full of uncertainty, this type of thinking is useful to help build better AI systems. I'll use Uber's newly released Pyro tool to demonstrate how they work. • Code for this video (with coding challenge): • https://github.com/llSourcell/an_intr... • Shannon's winning code: • https://github.com/DecentricCorp/Cova... • Please Subscribe! And like. And comment. That's what keeps me going. • Want more inspiration education? Follow me: • Twitter: / sirajraval • Facebook: / sirajology • • More learning resources: • https://media.nips.cc/Conferences/201... • http://probabilistic-programming.org/... • https://github.com/CamDavidsonPilon/P... • https://www.oreilly.com/ideas/probabi... • https://www.oreilly.com/learning/prob... • http://pyro.ai/ • Join us in the Wizards Slack channel: • http://wizards.herokuapp.com/ • And please support me on Patreon: • https://www.patreon.com/user?u=3191693 Instagram: / sirajraval Instagram: / sirajraval • Signup for my newsletter for exciting updates in the field of AI: • https://goo.gl/FZzJ5w • Hit the Join button above to sign up to become a member of my channel for access to exclusive content! Join my AI community: http://chatgptschool.io/ Sign up for my AI Sports betting Bot, WagerGPT! (500 spots available): https://www.wagergpt.xyz

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