655: AI ROI: How to get a profitable return on an AI-project investment
Super Data Science: ML & AI Podcast with Jon Krohn
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Evolution of Tools and Importance of Data Science Education
The chapter explores the changing landscape of data science tools, advocating for the integration of low code, no code tools alongside traditional coding skills. It emphasizes the importance of expertise in data science concepts like selection bias and feature drift when building models and discusses the efficiency and flexibility gained through tools like KNIME for data analysis. The chapter also touches on the significance of introducing various data science tools in educational settings and recommends a book, 'The Ghost Map', highlighting the importance of distinguishing between correlation and causation in data analysis.
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