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Facebook is an online social networking service.
Develops job-ready digital marketing skills through live campaign execution, performance analysis, and optimization across social, search, advertising, and email channels.
Data is everywhere and so much of it is unexplored. Learn how to investigate and summarize data sets using R and eventually create your own analysis.
Build and train neural networks in PyTorch across CNNs, RNNs, transformers, and GANs for image, language, and generative tasks.
Learn the basics of deep learning and implement your own deep neural networks with PyTorch
In this course, taught in collaboration with Facebook, you'll learn how to design an intuitive, user-centered mobile app, from product conception to release.
Implement passwordless login in an Android sample app with Account Kit and Facebook Login, test the flow on common use cases, and add social features via the Graph API.
Learn how to extend PyTorch with the tools necessary to train AI models that preserve user privacy.
In this course you'll implement Account Kit and Facebook Login side by side in a sample app, test our login flow on a series of common use cases, and wrap things up with an introduction to Facebook’s Graph API.
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