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What exactly is "data science" these days?

Practical AI

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The Reality of Data Science Tasks

This chapter reveals the extensive time data scientists spend on essential tasks like data cleaning and exploration, often accounting for up to 80% of their work. It also addresses common misconceptions about the necessity of advanced techniques, emphasizing the value of foundational skills and quality data over solely relying on complex models.

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