Guide to teaching data science : an interdisciplinary approach

By:

Hazzan, Orit

Contributor(s):

Mike, Koby [Author]

Material type: Text

TextPublication details: Switzerland: Springer Nature, 2023.Description: xxvii, 321pISBN:

9783031247576

Subject(s):

DDC classification:

005.7 HAZ HAZ

Summary: This book provides a variety of pedagogical discussions and specific teaching methods and frameworks, as well as includes exercises, and guidelines related to many data science concepts (e.g., data thinking and the data science workflow), main machine learning algorithms and concepts (e.g., KNN, SVM, Neural Networks, performance metrics, confusion matrix, and biases) and data science professional topics (e.g., ethics, skills and research approach).

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Holdings
Item type	Current library	Call number	Status	Barcode
Book	International Management Institute New Delhi General stacks	005.7 HAZ (Browse shelf(Opens below))	Available	22157

Includes bibliographical references and index.

This book provides a variety of pedagogical discussions and specific teaching methods and frameworks, as well as includes exercises, and guidelines related to many data science concepts (e.g., data thinking and the data science workflow), main machine learning algorithms and concepts (e.g., KNN, SVM, Neural Networks, performance metrics, confusion matrix, and biases) and data science professional topics (e.g., ethics, skills and research approach).

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