Essential Math for Data Science_Thomas Nield.pdf

Praise for Essential Math for Data Science In the cacophony that is the current data science education landscape, this book stands out as a resource with many clear, practical examples of the fundamentals of what it takes to understand and build with data. By explaining the basics, this book allows the reader to navigate any data science work with a sturdy mental framework of its building blocks. —Vicki Boykis, Senior Machine Learning Engineer at Tumblr Data science is built on linear algebra, probability theory, and calculus. Thomas Nield expertly guides us through all of those topics—and more— to build a solid foundation for understanding the mathematics of data science. —Mike X Cohen, sincXpress As data scientists, we use sophisticated models and algorithms daily. This book swiftly demystifies the math behind them, so they are easier to grasp and implement. —Siddharth Yadav, freelance data scientist I wish I had access to this book earlier! Thomas Nield does such an amazing job breaking down complex math topics in a digestible and engaging way. A refreshing approach to both math and data science— seamlessly explaining fundamental math concepts and their immediate applications in machine learning. This book is a must-read for all aspiring data scientists. —Tatiana Ediger, freelance data scientist and course developer and instructor Essential Math for Data Science Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics Thomas Nield Essential Math for Data Science by Thomas Nield Copyright © 2022 Thomas Nield. All rights reserved. Printed in the United States of America. Published by O’Reilly Media, Inc., 1005 Gravenstein Highway North, Sebastopol, CA 95472. O’Reilly books may be purchased for educational, business, or sales promotional use. Online editions are also available for most titles (http://oreilly.com). For more information, contact our corporate/institutional sales department: 800-998-9938 or [email protected]. Acquisi