Posts
Tutorial at ACML2020 on Forecasting for Data Scientists
I’m giving a 2.5 hour tutorial at ACML2020 on Forecasting for Data Scientists, covering all about forecasting that Data Scientists and Machine Learners should know.
Get additional information here
Special session at Virtual ISF2020 on Global Modelling for Forecasting
Pablo Montero-Manso and I are organising an invited session at Virtual ISF2020 on Global Modelling for Forecasting. Details are here
Speakers and topics are:
-
Kasun Bandara (Speaker) Student, Monash University
Transfer Learning Schemes for Global Forecasting Models using Recurrent Neural Networks -
Alexey Chernikov (Speaker) Student, Monash
Automatic Feature-based Forecast Model Averaging -
Dilini Rajapaksha (Speaker) PhD Student, Monash University
Local Model-Agnostic Interpretability in Global Time Series Forecasting -
Rakshitha Godahewa (Speaker) Student, Monash University
Addressing Data Heterogeneity in Time Series Forecasting using Global Ensemble ModelsCongratulations to my PhD students for their M5 success
A team of 4 Monash PhD students, three of whom I supervise (Kasun Bandara, Rakshitha Godahewa and Hansika Hewamalage) have achieved a 17th place in the M5 forecasting competition, with over 5000 participants. Congratulations!
Welcome to my new web page
Welcome to my new web page, I hope you find it useful and informative. It is based on hugo, blogdown, and I’m using the theme of my great colleague and mentor Rob J Hyndman.