The big news right now is around an analytics company that used a dataset from Facebook - gotten by the company under false pretenses - to help the Trump campaign in 2016. Everyone is SHOCKED - but this kind of data mining was glorified and extolled as a social good when it was used for Obama in 2012. The comparison of the coverage is stark. How are we going to get out of this? What exactly is the problem? I think that the vast centralization of data services has led to all sorts of...
It seems like yesterday when we had to get used to Bitcoin, and now new currencies are cropping up all the time - including the crypto-juggernaut Ethereum. To help us keep up and understand what's going on, I have Ethereum developer Christian Lundkvist from ConsenSys on the show. We talk about why Ethereum is separate from Bitcoin, and what the world-changing applications of these cryptocurrencies might be in the next few years.
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I have a discussion with Stephanie Yang about how we used machine learning and sentiment analysis to build Foursquare's critically acclaimed venue rating system. Some anecdotes and what we learn along the way.
In my first interview, I speak to Google engineer Maryam Aly who worked on Foursquare's Internationalization Stack for several years. This includes making sure that the foursquare city guide and swarm apps work all around the world. Sometimes, a simple translation isn't enough - we had to deal with the quirks of each language, and puns and cultural references that don't carry through.
In the rest of my discussion with Aaron, we discuss the how Bayes rule can apply to news items like the Hawaii ICBM Scare, the murder of DNC Staffer Seth Rich, Medical Diagnosis, Conspiracy Theories, theology, and politics.
Max Sklar starts off the Local Maximum podcast. He goes over the purpose of the podcast, and the push for 10 episodes. Aaron Bell interviews Max on Bayesian vs Frequentist Statistics. Mathematical reverends, German Enigma's, and Tampered Dice.