16-20 September 2019
Kantary Hills Hotel, Chiang Mai
Asia/Bangkok timezone

Do we need to invoke Machine Learning or Artificial Intelligence to add value to big data?

19 Sep 2019, 11:30
30m
Kantary Hills Hotel, Chiang Mai

Kantary Hills Hotel, Chiang Mai

44, 44/1-4 Nimmanhaemin Road, Soi 12, Suthep, Muang, Chiang Mai 50200, Thailand

Speaker

Dr. Nadeem Oozeer (South African Radio Astronomy Observatory (SARAO))

Description

Whenever we mention Big Data, we hear Machine Learning (ML) and/or Artificial Intelligence (AI). Is this required? Radio Frequency Interference (RFI) affects astronomical data that is
measured by radio telescope such as MeerKAT. RFI is known to be dynamic in various aspects. There is often claims that the RFI environment radio facility around site is changing . How can we quantify this from the telescope perspective? Once given their science dataset, astronomers remove the RFI and hardly give feedback to the Operations, Commissioning and RFI team about the quality of their data, unless it is really bad. Furthermore, how confidently can one be to remove some potentially “affected” data points? In this talk I will show how we address the above 3 questions from a data science perspective.

Primary author

Dr. Nadeem Oozeer (South African Radio Astronomy Observatory (SARAO))

Presentation Materials

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