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https://github.com/microsoft/AI-For-Beginners/blob/main/LICENSE https://GitHub.com/microsoft/AI-For-Beginners/graphs/contributors/ https://GitHub.com/microsoft/AI-For-Beginners/issues/ https://GitHub.com/microsoft/AI-For-Beginners/pulls/ http://makeapullrequest.com https://GitHub.com/microsoft/AI-For-Beginners/watchers/ https://GitHub.com/microsoft/AI-For-Beginners/network/ https://GitHub.com/microsoft/AI-For-Beginners/stargazers/ https://mybinder.org/v2/gh/microsoft/ai-for-beginners/HEAD https://gitter.im/Microsoft/ai-for-beginners?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/sketchnotes/ai-overview.png In this curriculum, you will learn: Different approaches to Artificial Intelligence, including the "good old" symbolic approach with Knowledge Representation and reasoning (https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence). [...] We will illustrate the concepts behind these important topics using code in two of the most popular frameworks - http://Tensorflow.org and http://pytorch.org. [...] For a gentle introduction to AI in the Cloud topics you may consider taking the https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-cacaste Learning Path. [...] Fork this repo, https://docsify.js.org/#/quickstart on your local machine, and then in the etc/docsify folder of this repo, type docsify serve.
