Search for tag: "machine learning"
Nvidia Self-paced Training CoursesSpeaker: Denis Battistella, Higher Education and Research, Nvidia In this talk, Denis presents the various training and resources made available to researchers by Nvidia. Presented at Best Practices…
From Twin Karmakharm
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Docker for Research SoftwareSpeaker: Ryan Daniels, University of Cambridge Writing research software in Python presents numerous challenges to reproducibility - what version of Python is being used? What about the versions of…
From Twin Karmakharm
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How to make your machine learning code fasterSpeaker: Edwin Brown, Research Software Engineering, University of Sheffield Practical guide to profile machine learning code to find bottlenecks and to remove these bottlenecks. Presented at Best…
From Twin Karmakharm
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How do you unit test an ML model?Speaker: Wahab Kawafi, University of Bristol Covering methods such as mock testing, simulation, experiment tracking, and dataset curation. With examples in medicine, chemistry, aerospace engineering,…
From Twin Karmakharm
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LunchBytes: from eyes to appsOur speaker this month was Dr Ilse Daly who told us about her journey from vision scientist to start-up founder at her company Blackdog Biomechanics.I’ve had a varied academic career, going…
From David Wilby
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Lunch bytes #8: Challenges in Deploying Machine LearningAn event hosted by the Sheffield RSE team on 12th May 2021, featuring a talk by Andrei Paleyes + Q&A about "Challenges in Deploying Machine Learning, or What is rarely talked about at ML…
From Fariba Yousefi
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LunchBytes #3 Accelerated Machine Learning (2020-12-09)Contents: Scalable ML in the Cloud - First Steps on MS Azure Phil Tooley, HPC Analyst, NAG For new users the cloud can be a complex and overwhelming environment, even for experienced users of…
From Twin Karmakharm
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