The new edition of an introduction to the art of computational problem solving using Python.
This book introduces students with little or no prior programming experience to the art of computational problem solving using Python and various Python libraries, including numpy, matplotlib, random, pandas, and sklearn. It provides students with skills that will enable them to make productive use of computational techniques, including some of the tools and techniques of data science for using computation to model and interpret data as well as substantial material on machine learning.
All of the code in the book and an errata sheet are available on the book’s web page on the MIT Press website.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
John V. Guttag is Dugald C. Jackson Professor of Computer Science and Electrical Engineering at MIT.
The new edition of an introduction to the art of computational problem solving using Python.
This book introduces students with little or no prior programming experience to the art of computational problem solving using Python and various Python libraries, including numpy, matplotlib, random, pandas, and sklearn. It provides students with skills that will enable them to make productive use of computational techniques, including some of the tools and techniques of data science for using computation to model and interpret data as well as substantial material on machine learning.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
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