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

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.