Prime Insight HK will sponsor this meetup by providing the location, food and drinks! Thanks to them!



Summary of the previous meetups:



- HKML S1E1 http://marti.ai/hkml/2018/07/18/hkml-s1e1.html

- HKML S1E2 http://marti.ai/hkml/2018/08/21/hkml-s1e2.html

- HKML S1E3 http://marti.ai/hkml/2018/10/09/hkml-s1e3.html

- HKML S1E4 http://marti.ai/hkml/2018/11/21/hkml-s1e4.html



We now have a LinkedIn Page: https://www.linkedin.com/company/hong-kong-machine-learning/ where you can share news or relevant information to the community.



Timothy Wong (British Gas, UK) - Signal Analysis using Deep Learning



Deep learning models can be used to extract representations for multidimensional time series data. We have used a sensors dataset collected from a large-scale industrial facility to illustrate this problem. Real-values sensor signals were treated as multidimensional time series and fed through a recurrent auto-encoder model. Representations extracted can be projected to low dimensionality space and reflect temporal behaviour of the underlying time series. In this way, the change of time series features over time can be summarised as a smooth trajectory path. The fixed-length vectors are further analysed using additional visualisation and unsupervised clustering techniques.



Nathan Landman - Text summarization with deep learning



Clifton Phua (Senior Data Scientist at DataRobot)



[canceled - reported to next meetup]

Jules Leidelinger - Structured prediction for product recommendation