Veridical Data Science (The Practice of Responsible Data Analysis and Decision Making)

ISBN: 9780262049191
List Price: $80.00

FREE Ground Shipping in US

Expect Delivery in 4-10 weekdays

Brand New Books

Your Price per Book:
Total for copies: Save

Found a lower price on another site? Request a Price Match

Minimum Order: 25 copies per title

true

Pre-order this book today and they will ship when released on Oct 15th 2024

Quantity
Price

Minimum Order $100 / 25 copies per title, no exceptions

Not ready to place your order?

Prices change daily. Order now!

$80.00
SKU:
9780262049191
Minimum Purchase:
25 units
Bulk Pricing:
Buy in bulk and save

Minimum Order: 25 copies per title

true

Pre-order this book today and they will ship when released on Oct 15th 2024

Overview

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

This book title, Veridical Data Science (The Practice of Responsible Data Analysis and Decision Making), ISBN: 9780262049191, by Bin Yu, Rebecca L. Barter, published by MIT Press (October 15, 2024) is available in hardcover. Our minimum order quantity is 25 copies. All standard bulk book orders ship FREE in the continental USA and delivered in 4-10 business days.

Unlike Amazon and other retailers who may also offer Veridical Data Science (The Practice of Responsible Data Analysis and Decision Making) books on their website, we specialize in large quantities and provide personal service, from trusted, experienced, friendly people in Portland, Oregon. We offer a Price Match Guarantee, and QuickQuote form, to make purchasing quick and easy.

Prefer to work with a human being when you order Veridical Data Science (The Practice of Responsible Data Analysis and Decision Making) books in bulk? Our Book Specialists are standing by Monday-Friday 8-5 PST, ready to help!

Product Details

Author:
Bin Yu, Rebecca L. Barter
Format:
Hardcover
Pages:
526
Publisher:
MIT Press (October 15, 2024)
Release Date:
October 15, 2024
Language:
English
Audience:
General/trade
ISBN-13:
9780262049191
ISBN-10:
0262049198
Weight:
20oz
Dimensions:
6" x 9"
File:
RandomHouse-PRH_Book_Company_PRH_PRT_Onix_delta_active_D20240419T230300_146951328-20240419.xml
Folder:
RandomHouse
List Price:
$80.00
Country of Origin:
United States
Series:
Adaptive Computation and Machine Learning series
Case Pack:
12
As low as:
$40.00
Shipping Origin:
Crawfordsville, IN
Publisher Identifier:
P-RH
Discount Code:
A

Ordering Details

  • Product Availability: Typically, all books are in stock and ready to ship. If a title becomes unavailable unexpectedly, you will be contacted with 24 business hours.
  • Standard Shipping: FREE Shipping via ground transportation within the continental United States.
  • Estimated Delivery: Most orders deliver within 4-10 business days from order date (excluding weekends and holidays). Orders shipping to Alaska or Hawaii should allow a minimum of 3 weeks for delivery. Rush Shipping is currently not available.
  • Important Note: Books ship from various warehouses and may receive multiple cartons to fill the complete order. Do not assume your order is shipping from Portland, OR.
  • Payment Terms: Visa, MC, Amex, PayPal, Purchase Orders and P-Cards can be used to purchase online. Check and wire-transfer payments are available offline through Customer Service