As a data scientist with a software engineering background, the author explores the friction between engineers and data scientists. The content delves into the misconception surrounding data science, emphasizing the significance of hypothesis-driven approaches over model-centric thinking. It provides insights into the complexities of explaining phenomena like Bitcoin's price spikes beyond mere technical analysis.
The narrative unfolds through personal experiences, offering realizations about data science's essence and lessons for building effective data science teams. By debunking myths and showcasing practical examples, the author navigates through the intricate relationship between theory and application in data science.
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by Louis Chan at towardsdatascience.com 02-24-2024
https://towardsdatascience.com/data-science-is-not-that-special-caeed27cc2acDeeper Inquiries