Faculty of Information Technology | Monash University

Demand for skilled IT professionals is growing and we understand we have a leading role to play in shaping the future of the IT profession, preparing our students for the professions of the future in a rapidly changing field of work, and equipping them for life. Discover IT and more at Monash Open Day Sunday, 5 August 10am - 4pm #MonashOpenDay https://www.youtube.com/watch?v=nEnhqc9YNvE

You have until October 15 to opt out. Our very own Dr Robert Merkel explains more: http://www.abc.net.au/news/science/2018-07-16/my-health-record-experts-say-its-safe-privacy-concerns-remain/9981658

Monash Runs for Refugees On July 29, over 70 Monash staff, students, and alumni are running to raise $35,000 for asylum seeker scholarships – enough to cover one year of an asylum seeker’s education here at Monash. They’re looking for donations to help support this great cause. Asylum seekers must pay full fees upfront each year, an enormous barrier to their education. Through the generosity of Monash alumni and staff, asylum seeker scholarships have allowed over a dozen asylum seekers to pursue their dream of education at Monash University, but there’s still an enormous need as over 50% of those who applied for a scholarship last year weren’t able to be offered a place. You can help the tea by donating today. Details below: #TeamMonash #CHANGEIT https://monash.communityfunded.net/?cfpage=project&project_id=20864

Celebrating the first International Day of LGBTQ+ People In Science, Technology, Engineering and Maths - 5 July #LGBTSTEMDAY More details here https://prideinstem.org/lgbtstemday/

Intrigued by our seminar this afternoon? Catch up with Professor Geoff Webb's latest work on #MonashLens. https://lens.monash.edu/2018/02/21/1319104/data-mining-and-the-art-of-painting-a-bigger-picture

The world is dynamic – in a constant state of flux – but most learned models are static. Models learned from historical data are likely to decline in accuracy over time. I will present our recent work on how to address this serious issue that confronts many real-world applications of machine learning. Speaker bio: Geoff Webb is Director of the Monash Centre for Data Science and Scientific Director of the Monash eResearch Centre. He is a technical advisor to data science startups BigML and FROOMLE. He has been Editor in Chief of the premier data mining journal, Data Mining and Knowledge Discovery (2005 to 2014) and Program Committee Chair of the two top data mining conferences, ACM SIGKDD (2015) and IEEE ICDM (2010), as well as General Chair of ICDM (2012). His primary research areas are machine learning, data mining and computational structural biology. Many of his learning algorithms are included in the widely-used BigML, R and Weka machine learning workbenches. He is an IEEE Fellow and his numerous awards include the inaugural Eureka Prize for Excellence in Data Science in 2017.

Comming up at 2pm.