Hong Kong Machine Learning Season 4 Episode 6

 16.03.2022 -  Hong Kong Machine Learning -  ~2 Minutes

When?

  • Wednesday, March 16, 2022 from 7:00 PM to 9:00 PM (Hong Kong Time)

Where?

  • This meetup was hosted on zoom.

The page of the event on Meetup: HKML S4E6

Programme:

Talk 1: Sequential Bootstrapping in Finance: Approaching the true IID Sampling

Speaker: Valeriia Pervushyna, Quantitative Researcher at Hudson & Thames https://hudsonthames.org

Abstract: Most classic Machine Learning approaches highly rely on the assumption of the i.i.d of samples. However, in the case of financial applications, achieving the first “I” - independence is close to impossible if using the standard ML approaches. Sequential bootstrapping allows to maximize the “purity” of the obtained samples in terms of independence and achieve results closest to the true IID sampling.

Her slides.

Talk 2: From galaxy pairs to galaxy mergers

Speaker: Hugo Pfister, Postdoctoral Researcher, The University of Hong Kong

Abstract: Machine Learning entered in almost every aspect of our life, and research in Astrophysics is not an exception! In this talk, I will begin with a brief introduction of the astrophysical problems of galaxy mergers: what are they? why are they interesting? what is our current understanding? In the second part, I will present how I used a combination of ‚Äúcosmological simulations‚ÄĚ and machine learning to automate the detection of galaxy mergers.

His slides.

Video Recording of the HKML Meetup on YouTube

  • YouTube videos:

HKML S4E6 - Sequential Bootstrapping in Finance: Approaching the true IID Sampling

HKML S4E6 - Sequential Bootstrapping in Finance: Approaching the true IID Sampling

HKML S4E6 - From galaxy pairs to galaxy mergers

HKML S4E6 - From galaxy pairs to galaxy mergers