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Creating an Art-making Twitter Bot with Machine Learning

Twitter Bots are a great interface for ingesting data and doing awesome things programmatically. In this workshop, we’ll go through how to use Python and tweepy to parse tweets targeted at our bot account. Our bot will grab the images from the tweets, and use a neural network to apply a style transfer effect that will automatically respond to the sender.

Participants can expect to leave the workshop with an understanding of how Twitter bots are architected, and boilerplate code which they can use going forward to modify for their own use cases.

Nick Walsh

As a Technical Evangelist for Amazon Web Services, Nick works to empower developers everywhere. Nick is passionate about making interactive and accessible educational content for developers, showcasing how they can leverage AWS services in order to focus on building what they truly care about.

Nick has worked to build developer tools across multiple organizations (Wolfram Research, Datmo, and now AWS) that power artificial intelligence and machine learning capabilities in applications. Having worked at nearly every level of abstraction in the ML/AI service space, Nick has helped startups and enterprises alike integrate AI into their production applications. In his spare time, he’s an avid PC gamer, esports fan, and volleyball player.

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