Join The Data Incubator and Mike Tamir, Head of Data Science for Uber Advanced Technologies Group, for the August 2018 installment of our free monthly webinar series, Data Science in 30 minutes: Deep Learning to Detect Fake News.
Mike will discuss how he created FakerFact.org, an Artificial Intelligence tool that enables readers to detect when an article is focused on credible information sharing vs. when the focus is on manipulation. We will explore real world use case applications for automated “Fake News” evaluation using contemporary deep learning article vectorization and tagging. We begin with the use case and an evaluation of the appropriate context applications for various deep learning applications in fake news evaluation. We will discuss several methodologies for article vectorization with classification pipelines, ranging from traditional to advanced neural network deep architecture techniques. We close with a discussion on troubleshooting and performance optimization when consolidating and evaluating these various techniques on active data sets.