Next.ML Boston Machine Learning Workshops & Case Studies
Microsoft NERD / Mon April 27, 2015
11 million people are involved in the software industry today according to . They write complicated, brittle code using a declarative approach that often fails to recognize the complexity of user behavior.
Next.ML is an all day event that brings together the leading machine learning engineers from industry and academia to kick off the transition from the declarative era of software engineering.
This time we are trying something new. Students can apply to attend for free.
Ryan is an Assistant Professor of Computer Science at the Harvard School of Engineering and Applied Sciences. He will talk about how Bayesian optimization can take humans out of the machine learning loop. Ryan recently founded Whetlab, a company that makes it easy to use these tools to get machine learning pipelines going on novel data without having to hire a room full of PhDs.
Matei Zaharia, MIT & Databricks
Matei is an Assistant Professor in computer science at MIT and CTO of Databricks, the company commercializing Apache Spark. He started the Spark project while he was a PhD student at Berkeley and has done research on a variety of topics in large-scale computer systems. Matei will be discussing the steps required to build efficient end-to-end data pipelines and ongoing work in Spark to enable such pipelines.