If you have questions about machine learning, math, and the shift from chasing algorithms to building data workflows, then Paco is the man to talk to. Bring him your questions on:
Paco Nathan leads the Learning Group at O’Reilly Media. Known as a “player/coach” data scientist, he led innovative data teams building ML apps at scale for several years and more recently was evangelist for Apache Spark, Apache Mesos, and Cascading. Paco has expertise in instructional design, machine learning, distributed systems, functional programming, and cloud computing with 30+ years of tech-industry experience, ranging from Bell Labs to early stage startups.
Paco has advised Amplify Partners and GalvanizeU and was cited in 2015 as one of the Top 30 People in Big Data and Analytics by Innovation Enterprise. He is the author of Just Enough Math, Intro to Apache Spark, and Enterprise Data Workflows with Cascading.
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