Mathematics of Data

Discover the essential principles of data science with "Mathematics of Data" by Michael W. Mahoney. Published in 2018 and spanning 325 pages, this insightful book delves into the mathematical methods that underlie machine learning and data science. Perfect for educators and those involved in training, this work bridges concepts from applied mathematics, statistics, probability, and computer science, offering a comprehensive introduction to the interdisciplinary nature of the field.

Whether you are a teacher looking to enhance your curriculum or a student eager to deepen your understanding, "Mathematics of Data" serves as a valuable resource. Mahoney's expertise ensures that readers will gain a solid foundation in the mathematics that drives data mining and analytical techniques, making it an ideal addition to your study materials or professional library.