Causal Methods in Data
Emre discusses the importance of identifying consistent patterns in data rather than relying on variable correlations. He highlights the potential of causal graphs to enhance deep learning models and suggests that a wealth of untapped data can be explored using these methods. Additionally, he shares his go-to tools for research, emphasizing the utility of Python and Jupyter notebooks, along with the helpfulness of copilot for navigating new packages.In this clip
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