Critical Thinking in Data Science with Python by Mathias Ellmann(.PDF)
File Size: 10 MB
Critical Thinking in Data Science with Python: From Observation to Responsible Decision-Making by Mathias Ellmann
Requirements: .ePUB, .PDF reader, 10 MB
Overview: How can data lead to responsible decisions? Data Science is often understood as a technical discipline: collecting data, training models, calculating metrics, and visualizing results. However, good data analysis does not begin with code. It begins with the question of what is actually being observed, measured, interpreted, and ultimately decided. This book presents Data Science as critical inquiry with Python. At its core is the question of how data can lead not only to information, but also to well-founded and responsible judgments. This book combines Data Science, Python, statistics, epistemology, argumentation theory, decision science, AI ethics, and critical thinking into an interdisciplinary introduction to responsible data analysis. Critical Thinking in Data Science with Python is an analytical and practical guide for everyone who wants not only to analyze data, but also to understand, question, and use it responsibly for decision-making.
Genre: Non-Fiction > Tech & Devices
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