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

Master data science with Essential Math for Data Science by Thomas Nield. This is paperback teaches fundamental linear algebra, probability, and statistics for effective data analysis. Learn to manipulate data, build predictive models, and extract insights. Ideal for students and professionals seeking a solid foundation. Explore vectors, matrices, distributions, hypothesis testing, and regression with practical examples. Strengthen your understanding of data analysis and machine learning. A must-have resource for aspiring data scientists and analysts. Build accurate data models and make informed decisions.