IRIS Machine Learning Workshop 16th Feb

Tuesday 16 Feb 2021, 14:00 → 17:00 UTC

Universe

Andrew Sansum (STFC, Scientific Computing Department), John Kewley (Science and Technology Facilities Council (STFC), Scientific Computing Department)

Zoom meeting: XXXXX

Please register by clicking on the link to the registration form in the left hand menu on the top page, then enter your information and submit the form.

Welcome and Introduction

Convener: Dr Andrew Sansum (STFC, Scientific Computing Department)

Session 1

1 SCD Machine Learning

Speaker: Jeyan Thiyagalingam (STFC SCD)

Slides IRIS_ML_SciML_2021-compressed.pdf

2 Convolutional Neural Networks (CNNs)

Speaker: Anna Scaife

Slides IRIS-Scaife-210216.pdf

3 Deep Learning Research for the CTA

Speaker: Sam Spencer

Slides IRIS_ML_Talk.pdf

4 Machine Learning in Particle Physics

Speaker: Davide Costanzo

Slides https://cernbox.cern.ch/index.php/s/JFw4Je0qNXTqO1h

15:25 Break

Session 2

5 Designing a machine learning workflow for your research problem

In the field of machine learning there are an abundance of choices to make, from data acquisition, feature selection, data pre-processing, algorithm choices, compute and software requirements, model tuning, model evaluation, and choosing what and how to publish. I'll go over some guidelines on how best to tackle these choices, highlight some of the most common workflows and use cases, and give some examples of projects with different requirements.

Speaker: Alex Clarke

Slides https://docs.google.com/presentation/d/19K-418hL30_HXHudfqJsVHb5oG1lL9Bq9AZojpFeFP4/edit?usp=sharing

6 Machine Learning in Openstack

Speaker: John Garbutt

Slides IRIS__Machine_Learning_on_OpenStack.pdf

7 Apache Spark Ecosystem on IRIS/OpenStack

Speaker: Nigel Hambly

Slides Hambly.pdf

Discussion and Wrap-up

Convener: Dr Andrew Sansum (STFC, Scientific Computing Department)