Chantal D. Larose, PhD, and Daniel T. Larose, PhD, form a unique father–daughter pair of data scientists. This is their third book as coauthors. Previously, they wrote:

• Data Mining and Predictive Analytics, Second Edition, Wiley, 2015.
  • This 800‐page tome would be a wonderful companion to this book, for those looking to dive deeper in to the field.
• Discovering Knowledge in Data: An Introduction to Data Mining, Second Edition, Wiley, 2014.

Chantal D. Larose completed her PhD in Statistics at the University of Connecticut in 2015, with dissertation Model‐Based Clustering of Incomplete Data. As an Assistant Professor of Decision Science at SUNY, New Paltz, she helped develop the Bachelor of Science in Business Analytics. Now, as an Assistant Professor of Statistics and Data Science at Eastern Connecticut State University, she is helping to develop the Mathematical Science Department's data science curriculum.

Daniel T. Larose completed his PhD in Statistics at the University of Connecticut in 1996, with dissertation Bayesian Approaches to Meta‐Analysis. He is a Professor of Statistics and Data Science at Central Connecticut State University. In 2001, he developed the world's first online Master of Science in Data Mining. This is the 12th textbook that he has authored or coauthored. He runs a small consulting business, DataMiningConsultant.com. He also directs the online Master of Data Science program at CCSU.