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Essential Math for Data Science

Autor Thomas Nield
en Limba Engleză Paperback – 9 iun 2022
"Master the math needed to excel in data science, machine learning, and statistics. In this book, ... Thomas Nield guides you through areas like calculus, probability, linear algebra, and statistics and how they apply to techniques like linear regression, logistic regression, and neural networks. Along the way you'll also gain practical insights into the state of data science and how to use those insights to maximize your career"--Back cover.
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Specificații

ISBN-13: 9781098102937
ISBN-10: 1098102932
Pagini: 350
Dimensiuni: 178 x 232 x 26 mm
Greutate: 0.56 kg
Editura: O'Reilly

Notă biografică

Thomas Nield is the founder of Nield Consulting Group as well as an instructor at O'Reilly Media and University of Southern California. He enjoys making technical content relatable and relevant to those unfamiliar or intimidated by it. Thomas regularly teaches classes on data analysis, machine learning, mathematical optimization, and practical artificial intelligence. At USC he teaches AI System Safety, developing systematic approaches for identifying AI-related hazards in aviation and ground vehicles. He's authored two books, including Getting Started with SQL (O'Reilly) and Learning RxJava (Packt).

He is also the founder and inventor of Yawman Flight, a company developing universal handheld flight controls for flight simulation and unmanned aerial vehicles.