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# Data Science Unicorns, RAG Pipelines, a New Coefficient of Correlation, and Other April Must-Reads

**[Medium](https://daily.dev/sources/medium_js)** · 5 min read · 2 upvotes · 0 comments

## Summary

The post highlights a selection of the most-read, shared, and discussed articles from April, covering topics such as the math behind neural networks, transforming messy data with Pandas, a new coefficient of correlation, building a local open-source chatbot with RAG, deep dive into transformers, transitioning from data scientist to ML/AI product manager, the hats of a full-stack data scientist, a Python UI library review, and using linear regressions for causal conclusions.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://towardsdatascience.com/data-science-unicorns-rag-pipelines-a-new-coefficient-of-correlation-and-other-april-must-reads-b1325bf78fce>

---

Tags: [#python](https://daily.dev/tags/python), [#data-science](https://daily.dev/tags/data-science), [#bots](https://daily.dev/tags/bots), [#neural-networks](https://daily.dev/tags/neural-networks), [#pandas](https://daily.dev/tags/pandas), [#transformers](https://daily.dev/tags/transformers), [#linear-regression](https://daily.dev/tags/linear-regression)

[View this post on daily.dev](https://daily.dev/posts/data-science-unicorns-rag-pipelines-a-new-coefficient-of-correlation-and-other-april-must-reads-0mnf6x3uq)

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