Skip to content
Description
By: Bin Yu, Rebecca L. Barter | Series: Adaptive Computation and Machine Learning series
Using real-world data case studies, this innovative and accessible textbook introduces an actionable framework for conducting trustworthy data science.
Most textbooks present data science as a linear analytic process involving a set of statistical and computational techniques without accounting for the challenges intrinsic to real-world applications. Veridical Data Science, by contrast, embraces the reality that most projects begin with an ambiguous domain question and messy data; it acknowledges that datasets are mere approximations of reality while analyses are mental constructs.
Bin Yu and Rebecca Barter employ the innovative Predictability, Computability, and Stability (PCS) framework to assess the trustworthiness and relevance of data-driven results relative to three sources of uncertainty that arise throughout the data science life cycle: the human decisions and judgment calls made during data collection, cleaning, and modeling. By providing real-world data case studies, intuitive explanations of common statistical and machine learning techniques, and supplementary R and Python code, Veridical Data Science offers a clear and actionable guide for conducting responsible data science. Requiring little background knowledge, this lucid, self-contained textbook provides a solid foundation and principled framework for future study of advanced methods in machine learning, statistics, and data science.
Using real-world data case studies, this innovative and accessible textbook introduces an actionable framework for conducting trustworthy data science.
Most textbooks present data science as a linear analytic process involving a set of statistical and computational techniques without accounting for the challenges intrinsic to real-world applications. Veridical Data Science, by contrast, embraces the reality that most projects begin with an ambiguous domain question and messy data; it acknowledges that datasets are mere approximations of reality while analyses are mental constructs.
Bin Yu and Rebecca Barter employ the innovative Predictability, Computability, and Stability (PCS) framework to assess the trustworthiness and relevance of data-driven results relative to three sources of uncertainty that arise throughout the data science life cycle: the human decisions and judgment calls made during data collection, cleaning, and modeling. By providing real-world data case studies, intuitive explanations of common statistical and machine learning techniques, and supplementary R and Python code, Veridical Data Science offers a clear and actionable guide for conducting responsible data science. Requiring little background knowledge, this lucid, self-contained textbook provides a solid foundation and principled framework for future study of advanced methods in machine learning, statistics, and data science.
- Presents the Predictability, Computability, and Stability (PCS) methodology for producing trustworthy data-driven results
- Teaches how a data science project should be conducted from beginning to end, including extensive discussion of the data scientist's decision-making process
- Cultivates critical thinking throughout the entire data science life cycle
- Provides practical examples and illuminating case studies of real-world data analysis problems with associated code, exercises, and solutions
- Suitable for advanced undergraduate and graduate students, domain scientists, and practitioners
You may also like
Top Trending
Dog Man 14: Dog Man: Big Jim Believes: A Graphic Novel (Dog Man #14)
Sale priceHK$85.00
Regular priceHK$150.00
In stock
Billy and the Mini Monsters: Monsters Play Football
Sale priceHK$59.00
Regular priceHK$98.00
In stock
Press Start! #17 The Super Jump Between Worlds! (Branches)
Sale priceHK$55.00
Regular priceHK$98.00
In stock
Anzu and the Realm of Darkness: A Graphic Novel
Sale priceFrom HK$85.00
Regular priceHK$140.00
In stock
The Curious Cases of Hopps & Wilde # 1: The Bling Sting (Disney Zootopia)
Sale priceHK$39.95
Regular priceHK$70.00
In stock
Pocket Potters Bundle with Limited free Tote Bag
Sale priceHK$239.00
Regular priceHK$520.00
In stock
Darkstalker: A Graphic Novel (Wings of Fire: Legends Graphic Novel)
Sale priceHK$99.00
Regular priceHK$154.00
In stock
All New Official Minecraft Handbook Bundle (Mojang AB)
Sale priceHK$299.00
Regular priceHK$640.00
In stock