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Getting Started with Machine Learning in Python
Registration
Registration is now closed (this event already took place).
Details
Workshop format: Presentation with hands-on
Target audience: This workshop is for those with no experience with machine learning. The material is appropriate for undergraduates students and above.
Knowledge prerequisites: Some experience with Python and knowledge of basic calculus.
Hardware/software prerequisites: For this workshop, users must have an account on our Adroit cluster, and they should confirm that they can SSH into Adroit at least a few hours beforehand. Details on all of the above can be found in this guide.
Learning objectives: Participants will come away with the ability to train machine learning models on simple data sets.
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Speakers
Anushka Acharya
Associate Research Engineer, Research Computing
Princeton University
Background: Bachelor of Science in Computer Science and minor in Mathematics
Prior to joining the RSE group at Princeton, Anushka worked in the Digital Humanities Lab at Ramapo College as a Software Developer Intern. There, Anushka developed a web centric ETL tool and applied Machine Learning models to analyze an expansive archive of historical documents. She also worked as a Software Engineer intern at Memorial Sloan Kettering Cancer Center, where she developed and implemented different workflows to automate Hospital Management System processes.