Doing Data Science by Cathy O'Neil

Straight Talk from the Frontline

An introductory, practice-focused guide to the data science process, covering problem formulation, data acquisition and cleaning, exploratory analysis, statistical modeling and machine learning, validation and A/B testing, visualization, and communication, with examples drawn from industry and academia and an emphasis on practical workflows, collaboration, reproducibility, and ethical considerations in deploying data-driven solutions.

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