Week 8
The algorithmic trading conference was a highlight. To see the interplay between quants, hedge fund, and asset management made me realise algorithms would probably not eat the world (just yet). It would still take a lot of effort for people that speak both langauges (ML and the domain of their application) to bring the two teams together. The languages that I speak are really machine learning and healthcare, so I asked a few technical questions during the talk, but it was super interesting to learn the parallels between finance and healthcare in terms of machine learning applications - how do you curate the data, and what are the practical considerations when algorithms are applied. I was surprised to learn the effect of regulations on machine learning development in finance.
For my personal projects, I have improved the model performance for project P quite a bit and throughout the process I have deepened my understanding for deep learning architectures in PyTorch. Constrasting it with the tidymodels in R was helpful for learning software design. Progress has also been made for project O, now that we have a plan on conduting genetic analysis.
2023-02-26
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Target
- Kaggle competitions
2023-02-25
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Target:
- Reflection on past week and plan for the next
2023-02-24
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Target:
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Project P:
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Discuss direction
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Built a regression model
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Hang out with friends
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