Anaconda: Data Science Apps with Anaconda | Sponsor tutorials
Anaconda provides a rich foundation of Python and R packages for data science. This tutorial will demonstrate how Anaconda can be used to turn simple models, scripts, or Jupyter notebooks into deployable applications. Participants should have Anaconda installed and have basic Python programming experience. We'll make use of machine learning and AI libraries such as Pandas, Scikit-learn, Tensorflow, and Keras. The tutorial will also demonstrate the app deployment capabilities of Anaconda Cloud.
Ian Stokes-Rees
Ian is a computational scientist and engineer at Continuum Analytics. He loves Python, and finding great ways to use it to solve big hairy problems in scientific computing, data analysis, and visualization. Ian helped develop a Python-based computational infrastructure for the CERN LHCb experiment during his PhD at Oxford, and followed that with work on distributed MC option pricing algorithms while a postdoctoral research at INRIA (France). Prior to joining Continuum, Ian spent 5 years at Harvard, first developing a science gateway for computational biology (in Python, of course), and then as lecturer in the School of Engineering.
Room B118-119
Thursday, 18th May, 11:00 - 12:30
