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felixleungsc

Or maybe the non clickbaity ones just don't make it to HN?
Re:Forecasting with Trees (2021) on Wednesday March 06, 2024 @04:29AM (#39614026)
Maybe check out this recap on the M5 competition? It has links to notebooks and some of the top solutions.

https://www.kaggle.com/competitions/m5-forecasting-accuracy/...

Re:Causal inference as a blind spot of data scientists on Sunday October 15, 2023 @07:10PM (#37894246)
The Atlantic/American Causal Inference Conference (ACIC) hosts a data challenge every year, I think. Useful to see many different methods compared on simulated data.

Does anyone know similar challenges/competitions?

ACIC links to years I could find:

- 2016: https://arxiv.org/abs/1707.02641

- 2017: https://arxiv.org/abs/1905.09515

- 2019: https://sites.google.com/view/acic2019datachallenge/data-cha...

- 2022: https://acic2022.mathematica.org/results

- 2023: https://sci-info.org/data-competition/

Re:Modular forms, the ‘fifth fundamental operation’ of math on Friday September 22, 2023 @06:24AM (#37610229)
A series of lectures by Richard Borcherds on modular forms:https://youtube.com/playlist?list=PL8yHsr3EFj51HisRtNyzHX-Xy...
Re:How to fit any dataset with a single parameter on Thursday September 30, 2021 @05:20AM (#28704487)
Now I see why the elephant. From the references:

> [2] “I’m not very impressed with what you’ve been doing.” As recounted the famous physicist Freeman Dyson himself, this is how Nobel laureate Enrico Fermi started their 1953 meeting. “Well, what do you think of the numerical agreement?”, Dyson countered. To which, Fermi replied “You know, Johnny von Neumann always used to say: With four parameters I can fit an elephant, and with five I can make him wiggle his trunk. So I don’t find the numerical agreement impressive either.”

For those who mind being tracked, the link has utm code in it.