From Models to Decisions in Machine Learning with Python: From Models to Responsible Decision-Making
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From Models to Decisions in Machine Learning with Python: From Models to Responsible Decision-Making

by Mathias Ellmann

Machine Learning Data Science Python Programming Responsible AI
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From Models to Decisions in Machine Learning with Python examines how machine learning models connect to real-world decision-making. With an emphasis on Python and responsibility, it offers readers a practical perspective on building, interpreting, and applying data-driven results.

About This Book

From Models to Decisions in Machine Learning with Python focuses on the journey from building machine learning models to using their results in decision-making.

The book combines machine learning with Python, making it relevant to readers interested in practical computational approaches to data-driven work.

Its emphasis on responsible decision-making highlights the importance of considering how model outputs are interpreted and applied.

This title is suited to readers seeking an introduction to the relationship between machine learning, programming, and responsible use of analytical results.

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I will be using this book for: