Mathematics for Data Science. Managing Data with Linear Algebra, Probability Theory, and Statistics

Master the mathematical apparatus necessary to excel in the field of data science, machine learning, and statistics. The author Thomas Nield will help you understand disciplines such as mathematical analysis, probability theory, linear algebra, and statistics, and learn how to apply them in the context of methods like linear regression, logistic regression, and neural networks. Along the way, you will learn what the modern field of data science represents and how to use the acquired knowledge to achieve maximum success in your career.