• Have We Sacrificed Autonomy For Certainty?

    Galvanize - Austin

    Data science has fundamentally changed the way we interact with the world. From navigation around town, picking the books we read, or restaurants we dine at, analytic models relieve our cognitive load. This relief comes at a cost; we are forgoing the right to make choices independent of the crowd. Dr. Gartner from the Galvanize instructional team will discuss the tradeoffs made for the certainty of ML driven products, and how a general lack of understanding of probability informs the way we interact with models. The conversation will then shift to how this certainty is a false one, the role of uncertainty in data science, and the failure of the community to properly educate the public about how certain predictive models are. RSVP to attend at: https://have-we-sacrificed-autonomy-for-certainty.eventbrite.com Schedule: 6:30pm-7:00pm: Arrival 7:00pm-8:00pm: Presentation and Q& 8:00pm-8:30pm: Mingle and Farewells About the Speaker Dr. Joseph A. Gartner III is a principal data scientist and data science instructor at Galvanize. His educational background is in physics, earning his Ph.D. from the University of Florida based on his work at the Large Hadron Collider at CERN. Since then, he has worked both as a software engineer and data scientist. His most recent work saw him contributing to the DARPA XData project where he focused on the large scale natural language processing, and graph representation of text data for the purpose of event detection. When he's not reading books on statistics, you can find him learning jiu-jitsu or practicing his ukulele. RSVP to attend at: https://have-we-sacrificed-autonomy-for-certainty.eventbrite.com Parking & Arrival Parking is $5 after 6 pm at the North Shore garage near the Galvanize entrance on Nueces and 2nd. Take the elevator up to the 2nd floor and sign in at reception. Doors open at 6:15. Entrance to the Galvanize building is on Nueces and the corner of 2nd in downtown Austin. About our Sponsor Galvanize is the premier dynamic learning community for technology. With campuses located in booming technology sectors throughout the country, Galvanize provides a community for each the following: Education - part-time and full-time training in web development, data science, and data engineering Workspace - whether you’re a freelancer, startup, or established business, we provide beautiful spaces with a community dedicated to supporting your company’s growth Networking - events in the tech industry happen constantly in our campuses, ranging from popular Meetups to multi-day international conferences To learn more about Galvanize, visit galvanize.com.

  • An Introduction to Data Science and Modeling

    Needs a location

    Data Science has become one of the biggest buzz words in technology. We will talk about what exactly is meant by creating a predictive model for data science. What the data looks like, how to format it, what a model is, and how to validate that model so that it makes a worthwhile prediction. It will also go into pitfalls of data science and things to look out for. The talk will be mostly non-technical but a demonstration will be given on code going from a data file to predictions. The code will be in Python, making use of the libraries Scikit-Learn and Pandas. RSVP HERE TO ATTEND: https://intro-data-science-atx.eventbrite.com About the Speaker Dan Rupp is a data scientist instructor at Galvanize, where he also completed the Data Science Immersive program. After working in the healthcare industry in a prior role, he saw how hospitals had access to tons of valuable data, but it wasn’t being used to judge the efficacy of treatment plans and drug prescriptions or to find cheaper alternatives. That ignited his journey into the data science field. When he’s not teaching, Dan spends his time exploring better ways of handling missing data and recommender systems. Arrival Take the elevator up to the 2nd floor and sign in at reception. Doors open at 6:15. Entrance to the Galvanize building is on Nueces and the corner of 2nd in downtown Austin. RSVP HERE TO ATTEND: https://intro-data-science-atx.eventbrite.com About our Sponsor Galvanize is the premiere dynamic learning community for technology. With campuses located in booming technology sectors throughout the country, Galvanize provides a community for each the following: Education - part-time and full-time training in web development, data science, and data engineering Workspace - whether you’re a freelancer, startup, or established business, we provide beautiful spaces with a community dedicated to supporting your company’s growth Networking - events in the tech industry happen constantly in our campuses, ranging from popular Meetups to multi-day international conferences To learn more about Galvanize, visit galvanize.com.

  • Kubernetes Architectures for Machine Learning Talk and Demo

    Kubeflow is a rapidly growing Kubernetes-based open-source machine learning (ML) project because it simplifies the ability to build, train and deploy ML models. Some estimates show that 50% of all ML workflow steps require data management, and therefore effective data management is critical to the productivity of your ML teams. This forward-looking presentation and demonstration will focus on the data storage requirements of stateful Kubernetes applications, especially for use cases that leverage Kubeflow to build, train and deploy Tensorflow-based models. It will review the common storage configurations to support stateful Kubernetes applications, along with their benefits and challenges. The presentation will detail the new Kubernetes 2020 architectures, which leverage standards-based interfaces and local disks, which enable stateful apps to take advantage of NVMe storage performance. It will demonstrate a popular Kubeflow Pipelines use case and the delivery of efficient versioning, packaging and reproducibility. It will also explain the machine learning requirements for advanced data management solutions, which simplify portability, improve performance and minimize network traffic and storage requirements. RSVP HERE TO ATTEND --> https://kubernetes-architectures-demo.eventbrite.com About the Speaker Josh Bottum is a Product Manager for the Kubeflow Community. He is also a Vice President of Arrikto. Arrikto is a San Mateo based start-up that develops standards-based solutions for stateful Kubernetes applications. Arrikto is a core code contributor to several of the Kubeflow Working Groups and supports the development of Storage, Notebooks, Pipelines, Laptop, and On-prem functionalities. Parking & Arrival Parking is $5 after 6 pm at the North Shore garage near the Galvanize entrance on Nueces and 2nd. Take the elevator up to the 2nd floor and sign in at reception. Doors open at 6:15. Entrance to the Galvanize building is on Nueces and the corner of 2nd in downtown Austin. RSVP HERE TO ATTEND --> https://kubernetes-architectures-demo.eventbrite.com About Galvanize: Galvanize is the premiere dynamic learning community for technology. With campuses located in booming technology sectors throughout the country, Galvanize provides a community for each the following: Education – part-time and full-time training in software engineering and data science Workspace – whether you’re a freelancer, startup, or established business, we provide beautiful spaces with a community dedicated to supporting your company’s growth Questions? Contact Navira Abbasi @ [masked] Networking – events in the tech industry happen constantly in our campuses, ranging from popular Meetups to multi-day international conferences To learn more about Galvanize, visit galvanize.com.