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AIF01 Practical AI for the Working Software Engineer
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# Practical AI for the Working Software Engineer by David M Smith ([`@revodavid`](https://twitter.com/revodavid)), Cloud Advocate at Microsoft **Last updated**: December 4, 2018 Presented at: * [AI Live](https://live360events.com/Events/Orlando-2018/Sessions/Friday/AIF01-Workshop-Practical-Artificial-Intelligence-for-the-Working-Software-Engineer.aspx) (AIF01), Orlando, December 7 2018 ## About these notebooks This library includes three notebooks to support the workshop: 1. The AI behind Seeing AI. Use the web-interfaces to Cognitive Services to learn about the AI services behind the "Seeing AI" app 2. Computer Vision API with R. Use an R script to interact with the Computer Vision API and generate captions for random Wikimedia images. 3. Custom Vision with R. An R function to classify an image as a "Hot Dog" or "Not Hot Dog", using the Custom Vision service. 4. MNIST with scikit-learn. Use sckikit-learn to build a digit recognizer for the MNIST data using a regression model.