My education was focused on the earth sciences (geophysics, carbonate geology) and computer science (data analytics); and previous work experience was geared toward data science and plug-in development for the energy industry. Technical skills: Python (10 years) and R (4 years), with 2 years' experience building data science products using Hadoop and its associated dongles (especially Spark). When I'm not sitting in front of glowing rectangular screens at work, I absolutely adore hiking / kayaking / mountain-biking around Texas' glorious Green Belt; resuscitating Apples; and (poorly!) attempting to play bass guitar. Personal passions are sustainable energy and climate change research; STEM education reform; and empowering local governments via data science https://twitter.com/DynamicWebPaige
My education was focused on the earth sciences (geophysics, carbonate geology) and computer science (data analytics); and previous work experience was geared toward data science and plug-in development for the energy industry. Technical skills: Python (10 years) and R (4 years), with 2 years' experience building data science products using Hadoop and its associated dongles (especially Spark). When I'm not sitting in front of glowing rectangular screens at work, I absolutely adore hiking / kayaking / mountain-biking around Texas' glorious Green Belt; resuscitating Apples; and (poorly!) attempting to play bass guitar. Personal passions are sustainable energy and climate change research; STEM education reform; and empowering local governments via data science https://twitter.com/DynamicWebPaige
Tobi Knaup is the CTO and Co-Founder of Mesosphere, a hybrid cloud platform company. Mesosphere helps companies like NBCUniversal, Deutsche Telekom, and Bloomberg adopt transformative technologies like machine learning and real-time analytics with ease.
He was one of the first engineers and tech leads at Airbnb. At Airbnb, he wrote large parts of the infrastructure including the search and fraud prediction services. He helped scale the site to millions of users and build a world class engineering team.
Tobi is the main author of Marathon, Mesosphere’s container orchestrator.
As software engineering has matured as an industry over the years, principles and best practices have been established to quality product. When managing software in production, we follow DevOps principles and use Continuous Integration and Delivery to remove sources of error and ensure repeatable deployments. Those methods and principles do not exist for production machine learning systems. Most systems like this involve manual operations, and there is a tooling gap between development and production, which creates many sources of error.
Machine learning in production requires a data science platform that encompasses the complete set of tools that turn raw data into actionable intelligence. In this talk, Tobi Knaup will describe the best practices and tools that data scientists and data engineers can use to build a data science platform that combines existing data stores with cutting edge machine learning frameworks.