AI3SD Video: Applying Machine Learning to Structured Time-course sensor data
AI3SD Video: Applying Machine Learning to Structured Time-course sensor data
This talk forms part of the ML4MC (Machine Learning for Materials and Chemicals Series which has been organised as a joint venture between the Artificial Intelligence for Scientific Discovery Network+ (AI3SD) and the Directed Assembly Network. This series ran over summer 2021 and covers topics that encompass our overlapping Network interests of AI, Machine Learning, Artificial Photosynthesis, Biomimetic Materials, Crystal Design & Engineering, Materials, Molecules, Photochemistry, Photocatalysis and Supramolecular Chemistry. This video was the third talk in the ML4MC series and formed part of the session "Research Talks".
AI3SD Event, Directed Assembly, Materials, Chemicals, Machine Learning, Summer School, Training
Pattison, David
adc1ee82-2682-421b-a1b5-26ba69d98b91
Kanza, Samantha
b73bcf34-3ff8-4691-bd09-aa657dcff420
Frey, Jeremy G.
ba60c559-c4af-44f1-87e6-ce69819bf23f
Hooper, Victoria
af1a99f1-7848-4d5c-a4b5-615888838d84
20 July 2021
Pattison, David
adc1ee82-2682-421b-a1b5-26ba69d98b91
Kanza, Samantha
b73bcf34-3ff8-4691-bd09-aa657dcff420
Frey, Jeremy G.
ba60c559-c4af-44f1-87e6-ce69819bf23f
Hooper, Victoria
af1a99f1-7848-4d5c-a4b5-615888838d84
Pattison, David
(2021)
AI3SD Video: Applying Machine Learning to Structured Time-course sensor data.
Kanza, Samantha, Frey, Jeremy G. and Hooper, Victoria
(eds.)
Machine Learning for Materials & Chemicals Seminar Series 2021, , Southampton, United Kingdom.
06 Jul - 24 Aug 2021.
(doi:10.5258/SOTON/P0130).
Record type:
Conference or Workshop Item
(Other)
Abstract
This talk forms part of the ML4MC (Machine Learning for Materials and Chemicals Series which has been organised as a joint venture between the Artificial Intelligence for Scientific Discovery Network+ (AI3SD) and the Directed Assembly Network. This series ran over summer 2021 and covers topics that encompass our overlapping Network interests of AI, Machine Learning, Artificial Photosynthesis, Biomimetic Materials, Crystal Design & Engineering, Materials, Molecules, Photochemistry, Photocatalysis and Supramolecular Chemistry. This video was the third talk in the ML4MC series and formed part of the session "Research Talks".
Video
Ml4MC-DavidPattison-200721
- Version of Record
More information
Published date: 20 July 2021
Additional Information:
Dr David Pattison, Data Science Manager at DeepMatter. David has over a decade of experience in data science, AI and machine learning across a variety of data-intensive industries (renewables, nuclear, insurance and chemistry). He leads the development of data strategy, modelling and analytics for DigitalGlassware and the wider DeepMatter product base to bring value to chemists and chemical companies.
Venue - Dates:
Machine Learning for Materials & Chemicals Seminar Series 2021, , Southampton, United Kingdom, 2021-07-06 - 2021-08-24
Keywords:
AI3SD Event, Directed Assembly, Materials, Chemicals, Machine Learning, Summer School, Training
Identifiers
Local EPrints ID: 450667
URI: http://eprints.soton.ac.uk/id/eprint/450667
PURE UUID: d4f8670b-0aec-47c9-b363-14059e2c564a
Catalogue record
Date deposited: 05 Aug 2021 16:34
Last modified: 17 Mar 2024 03:51
Export record
Altmetrics
Contributors
Author:
David Pattison
Editor:
Victoria Hooper
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics
