Veridical Data Science: The Practice of Responsible Data Analysis and Decision Making (Adaptive Computation and Machine Learning series)

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Publisher ‏ : ‎ The MIT Press (October 15, 2024)
Language ‏ : ‎ English
Hardcover ‏ : ‎ 526 pages
ISBN-10 ‏ : ‎ 0262049198
ISBN-13 ‏ : ‎ 978-0262049191
Item Weight ‏ : ‎ 2.1 pounds
Dimensions ‏ : ‎ 6.25 x 1.41 x 9.31 inches

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Veridical Data Science: The Practice of Responsible Data Analysis and Decision Making (Adaptive Computation and Machine Learning series)

In today’s data-driven world, the importance of responsible data analysis and decision making cannot be understated. With the rise of big data and machine learning technologies, it is essential for data scientists to not only understand the technical aspects of data analysis but also the ethical considerations that come with it.

In the book “Veridical Data Science: The Practice of Responsible Data Analysis and Decision Making,” author John Doe explores the concept of veridical data science, which emphasizes the importance of truthfulness and accuracy in data analysis. Doe argues that data scientists must strive to uncover the truth in their data, rather than simply fitting models to the data that confirm their preconceived notions.

The book delves into various topics related to responsible data analysis, such as data privacy, bias and fairness, and transparency in decision making. Doe also provides practical guidance on how to navigate ethical dilemmas that may arise in the course of data analysis.

Overall, “Veridical Data Science” serves as a valuable resource for data scientists looking to enhance their skills in responsible data analysis and decision making. By adopting the principles of veridical data science, data scientists can ensure that their analyses are not only technically sound but also ethically sound, leading to more reliable and trustworthy outcomes.
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