Time-series, as a field of study, has largely focused on statistical methods that work well under strict assumptions. Specifically, when there is sufficient history, there is little meta-data and a well-formed auto-correlation structure. However, as an applied practitioner I know that most real-world time series problems violate these assumptions. This leaves us with an opportunity to use more modern time series methods, based on machine learning, to overcome these deficiencies.
This session is designed to briefly speak about the unique properties of time-series, how statistical methods work and how and why machine learning (and deep learning) methods can be used to improve accuracy.
VENUE: We are now hosting events at NeW Space!
This is the University of Newcastle CBD campus on the corner of Hunter Street and Auckland Street.
PARKING: The closest parking is Wright Lane Carpark.
After 5pm it is free and is a 700m 8 minute walk.
Once the construction at the former Civic Station completes it'll be a 400m 5 minute walk.
FOOD: 🍕 + 🥤
- Wood fired pizza from Parry Street Garage, sponsored by ASR Recruitment
- Soft drinks and bottles of water
- Please advise dietary requirements in RSVP
- 5.30pm: Networking + Food + Drinks
(Don't stress if you are held up in traffic)
- 6.15pm: Presentation
- 7.15pm: Packing up + Bonus questions
- 7.30pm: Close or carry on for a drink at The Clarendon Hotel