Azure Machine Learning (Date change from 10/15 to 11/19)

Date
Nov 19, 2020, 4:30 pm5:30 pm
Location
Remote Learning
Event Description

This hands-on workshop will present various ways in which Microsoft Azure can facilitate machine learning (ML) for researchers. Familiarity with creating and accessing a virtual machine (VM), along with other Azure fundamentals, is assumed.

Workshop format: Lecture and hands-on

Target audience: This workshop is appropriate both for those with ML experience looking to leverage cloud computing and for ML newcomers interested in how Azure can lower the barrier to entry.

Knowledge prerequisites: Participants should be familiar with creating and accessing VMs on Azure.

Hardware/software prerequisites: Overarching requirements for all PICSciE virtual workshops are listed at https://researchcomputing.princeton.edu/education/training/virtual-work….  Participants should ensure they have met these requirements in advance, as there will be no technical troubleshooting during the workshop itself.  In addition, a Microsoft Azure account is recommended to follow the hands-on portion of the training. A free trial account can be obtained from Microsoft at https://azure.microsoft.com/en-us/free/ (link is external).

Learning objectives: Attendees will learn how to access and run familiar development tools and software on Azure. They will also be introduced to additional services Azure offers to make ML accessible to researchers of different experience levels, to streamline different parts of the ML workflow, or to automate building and testing of different ML models.

Please register online at www. princeton.edu/training.  If you're having trouble registering, please email alrubins@princeton.edu

 

Sponsor
PICSciE/Research Computing
Speaker