Guest Session - A Data Science evening with Ian Ozsvald & Chris Brown

May 11th, you are invited to a new RABS Guest Session!

Relevant for anyone interested in data science, machine learning algorithms and their usage in different industries.


NHS ventilator

Mechanical ventilators are widely used in intensive care. Even two decades ago they were primarily mechanical devices whose "only" task was to inflate the patient’s lung. Recently, however, they have become equipped with powerful computers that provide sophisticated ventilator modes. Data provided by the ventilators are almost never downloaded, stored or analysed. The data is complex, high frequency and requires time-intensive scrutiny to review. Doctors do not have time to analyse these traces in a neonatal unit.

We are providing a simple and easy-to-interpret summary of 100Hz dual-channel ventilator data to improve the quality of care of young infants by time-poor staff. This involves signal processing, visualisation, building a gold standard and machine learning to segment breaths and summarise a baby's behaviour.

Anyone interested in time series data, automated labelling, scikit-learn, Bokeh and medical applications will find this talk of interest. Both the highs and lows of our current approaches will be discussed.

Flight Data Anomaly Detection

Flight Data analysis platforms provide aircraft operators with valuable safety insight that is easy to use while delivering detailed reporting, statistics and visualization directly to the safety departments of the operators.

Maintenance and safety events can be identified and addressed without delay, minimizing risk and Aircraft on Ground (AOG) time while ensuring operators meet aviation regulatory requirements.

We will present the predictive anomaly detection service, part of a larger flight data analysis platform.

Ian Ozsvald is a Data Scientist and Artificial Intelligence researcher, author of O'Reilly's High Performance Python. His skills and interests include machine learning, natural language processing, and recommendation systems in Python.
Chris Brown is doing Requirements capture and Solutions Architecture for data platforms. His current research areas are: big data architectures on cloud provisioned environments and agile approaches to data science problems.

Time & date:May 11th 2017; 17:30-20:30

Place: Urania Palace, Horea street, no. 4


- 25RON (payable in cash at the event or by bank transfer before the event in our ING Bank account: RO62INGB0000999902516266 with the explanation "sponsorizare")

Disclaimer: This is an independent community event. The event is not sponsored by any organisation and is independently organised. Contributors (speakers, organisers) work for free to bring you this content. The fee is meant to cover location costs (space & refreshments) and inherent costs of running an NGO. Any personal information collected during registration will never be shared or sold and is used exclusively to facilitate this meeting and let you know of future such meetings.

We are sorry but registration for this event is now closed.

Please contact us if you would like to know if spaces are still available.

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