The Australasian Data Science and Machine Learning Conference
AusDM celebrated 20 years as the premier regional conference for Data Science, Analytics and Machine Learning in 2022. With our ongoing focus on applications using data science and machine learning this year, 2023, we are delighted to host AusDM23 in Auckland, New Zealand. Visit the website ausdm23.ausdm.org for details.
The Australasian Data Science and Machine Learning Conference is devoted to the art and science of data science and machine learning: the meaningful analysis of (usually large) data sets to discover relationships and present the data in novel ways that are compact, comprehendible and useful for researchers and practitioners.
The conference series brings together Machine Learning researchers and Data Science practitioners to share and learn of research and progress in the local context and to hear of new breakthroughs in data science and machine learning and their applications.
The conference has also grown to be the premier venue for post graduate students in data science and machine learning to come together each year to present their research, to network with other students and researchers, and to showcase their ideas with industry. To support attendance the steering committee manages a financial award for students. Please contact the awards committee for details.
The Conference series began in 2002 as a Workshop organised by by Dr Simeon Simoff (then, Associate Professor, Universitry of Technology, Sydney), Dr Graham Williams (then, Principal Data Scientist, Australian Taxation Office, and Adjunct Professor, University of Canberra), and Dr Markus Hegland (Australian National University). It continues today with Professor Simoff (University of Western Sydney) and Professor Williams (Australian National University) chairing the steering committee.
The annual conference is generally held in November or December each year.
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Last Modified Fri 2023-04-21 08:43:34 +1000 Graham Williams
Further information from the AusDM Steering Committee via email@example.com.