Epub Essential Math For Data Science

Master the math needed to excel in data science, machine learning, and statistics. In this book author 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.

Create more effective and powerful data science solutions by learning when, where, and how to apply key math principles that drive most data science algorithms

Create more effective and powerful data science solutions by learning when, where, and how to apply key math principles that drive most data science algorithms

An understanding of discrete mathematics is essential for students of computer science wishing to improve their programming competence.