Top 10 West Coast Confs for 2019

I’ve been putting together a list of conferences that I want to aim to attend this coming year. I made it, then thought, “somebody else could use this list probably” so here it is. If you think of any other specific conferences I ought to add and attend please leave a comment. Enjoy! March 7-10... Continue reading →

Strata, Ninjas, Distributed Data Day, and Graph Day Trip Recap

This last week was a helluva set of trips, conferences to attend, topics to discuss, and projects to move forward on. This post I’ll attempt to run through the gamut of events and the graph of things that are transversing from the conference nodes onward! (See what I did there, yeah, transpiling that graph verbiage... Continue reading →

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 →