— ACM — Python, R and Spark; Anaconda, collaboration, workflow, security, deployment …
Webinar Date: Wednesday, September 7, 2016
Time: 9:00 AM (PDT)
Speaker: Christine Doig, Senior Data Scientist, Continuum Analytics
Location: on the Web
Event Details & Registration: Web Link
Summary: Large organizations wanting to leverage the amazing technology being developed in open source for data science in the Python, R and Spark ecosystems struggle to modernize their traditional analytic stack. Anaconda, the leading Open Data Science platform, is built on open source technology to fulfill the enterprise needs of Data Scientists and their colleagues, including Business Analysts, Developers, DevOps and Data Engineers. Anaconda leverages the open source innovation technology while providing enterprise features around collaboration, security, authentication, and deployment.
In this webinar, we’ll present the Anaconda platform and its foundational open source packages: Conda for package and environment management, Bokeh for interactive data visualization, Dask for parallel computing, Numba for high performance Python, and Datashader for large scale visualizations. We’ll discuss the workflow of Data Scientists from exploring and building machine learning models to collaborating in a team and deploying. With the Anaconda Platform, it has never been easier to embrace and leverage Open Data Science.
Bio: Christine Doig is a Senior Data Scientist at Continuum Analytics, where she has worked, among other projects, on MEMEX, a DARPA-funded project helping stop human trafficking. She has 5+ years of experience in analytics, operations research, and machine learning in a variety of industries, including energy, manufacturing, and banking. Christine holds a M.S. in Industrial Engineering from the Polytechnic University of Catalonia in Barcelona. Christine loves empowering people through open source technologies and is a regular speaker and trainer at community conferences including PyCon, EuroPython, PyData, OSCON and Data Science Summit.