Essential Math for Data Science: Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics - 1st Edition

Master the math skills essential for success in data science, machine learning, and statistics with this book by Thomas Nield. He covers important topics like calculus, probability, linear algebra, and statistics, explaining how they relate to techniques such as linear regression, logistic regression, and neural networks. Throughout the book, you'll also gain practical insights into the data science field and learn how to use this knowledge to advance your career.