DataHack Radio #21: Detecting Fake News using Machine Learning with Mike Tamir, Ph.D.

Introduction Fake news is one of the biggest scourges in our digitally connected world. That is no exaggeration. It is no longer limited to little squabbles – fake news spreads like wildfire and is impacting millions of people every day. How do you deal with such a sensitive issue? Millions of articles are being churned out every day on the internet – how do you tell real from fake? It’s not as easy as turning to a simple fact checker. […]

DataHack Radio #12: Exploring the Nuts and Bolts of Natural Language Processing with Sebastian Ruder

https://soundcloud.com/datahack-radio/episode-12-sebastian-ruder Introduction There’s text everywhere around us, from digital sources like social media to physical objects like books and print media. The amount of text data being generated every day is mind boggling and yet we’re not even close to harnessing the full power of natural language processing. I see a ton of aspiring data scientists interested in this field, but they often turn away daunted by the challenges NLP presents. It’s such a niche line of work, and we […]