Conducting a Data Science Contest in Your Organization w/ Ashutosh Sanzgiri

Ashutosh Sanzgiri (@sanzgiri) is a Data Scientist at AppNexus, the world’s largest independent Online Advertising (Ad Tech) company. I develop algorithms for machine learning products and services that help digital publishers optimize the monetization of their inventory on the AppNexus platform. Ashutosh has a diverse educational and career background. He’s attained a Bachelor’s degree in... Continue reading →

From Zero to Machine Learning for Everyone w/ Poul Peterson

BigML was founded in January 2011 in Corvallis, Oregon with the mission of making Machine Learning beautifully simple for everyone. We pioneered Machine Learning as a Service (MLaaS), creating our platform that effectively lowers the barriers of entry to help organizations of all industries and sizes to adopt Machine Learning. As a local company with... Continue reading →

Your First NLP Machine Learning Project: Perks and Pitfalls of Unstructured Data w/ Anna Widiger

Anna Widiger (@widiger_anna) has a B.A. degree in Computational Linguistics from University of Tübingen. She’s been doing NLP since her very first programming assignment, specializing in Russian morphology, German syntax, cross-lingual named entity recognition, topic modeling, and grammatical error detection. Anna describes “Your First NLP Machine Learning Project: Perks and Pitfalls of Unstructured Data” to... Continue reading →

Jump or Not to Jump: Solving Flappy Bird with Deep Reinforcement Learning w/ Kaleo Ha’o

The holy grail of machine learning has always been a “Skynet” type of artificial intelligence that could generally learn anything (artificial general intelligence), and the biggest advancement toward achieving such A.I. is deep reinforcement learning (DRL). The reason for this is DRL’s ability to solve a vast array of problems; its application ranges from learning... Continue reading →