Barriers To Accelerating The Training Of Artificial Neural Networks – A Systemic Perspective – Meet Manuel Muro

The real breakthrough for the modern Artificial Intelligence (AI) and Machine Learning (ML) technology explosions started back in 1943 when researchers McCulloch & Pitts came up with a mathematical model to represent that function of the biological neuron; nature’s gift that allows all life to operate and learn over time. Eventually this research would then... 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 →