The Art of Data Science: A Practitioner’s Guide
Author: Douglas A. Gray (Author)
Publisher finelybook 出版社: Chapman and Hall/CRC
Edition 版本: 1st edition
Publication Date 出版日期: 2025-03-13
Language 语言: English
Print Length 页数: 198 pages
ISBN-10: 1032818174
ISBN-13: 9781032818177
Book Description
Book Description
Review
From the Foreword: “This book depicts a 40-year journey beginning when Doug changed his undergraduate major from computer science to mathematical sciences to today where we find Doug as a data science director at Walmart Global Tech, as the co-author of the book Why Data Science Projects Fail: The Harsh Realties of Implementing Analytics without the Hype, and teaching practitioners and leaders how to apply analytical science within a business environment. For the duration of his career, Doug has worked at the intersection of mathematics, statistics, computer science, large amounts of data, and real-world problems for both the private sector and the public sector. His journey has had many twists and turns along the way, but the best practices and critical lessons learned that Doug has gleaned from his experiences are invaluable for anyone even tangentially involved with Analytics, Data Science, and Artificial Intelligence today.” – Stephen M Clampett, Owner of SM Clampett Group LLC, Senior Airline and Travel Technology Executive, Former President Sabre Airline solutions
About the Author
Douglas A. Gray is a practitioner, leader, and educator with over 30 years of experience leading award-winning teams at industry luminaries in analytics, including INFORMS Prize-winning American Airlines and Walmart. His teams have delivered advanced game-changing solutions in the airline operations, healthcare, and omnichannel retail supply chain domains, which deliver hundreds of millions of dollars in business value and economic impact annually. He teaches Analytics and AI Strategy at Southern Methodist University (SMU) in the Executive MBA, Executive Education, and MS Data Science programs, and has published over a dozen articles and two books on analytics best practices and applications.
下载地址
相关推荐
- Artificial Intelligence for Future Networks
- CompTIA Network+ Guide to Networks, 10th Edition
- Practical Ruby 3 Programming: Simpler than Python, offering concise syntax, reusable code, and maximum developer productivity
- Silent Dilemmas of Project Managers: Solving the Existential Puzzle
- Ultimate AWS CDK for Infrastructure Automation
- Advances in Financial Machine Learning