Companies are scrambling to integrate AI into their systems and operations. But to build truly successful solutions, you need a firm grasp of the underlying mathematics. This accessible guide walks you through the math necessary to thrive in the AI field such as focusing on real-world applications rather than dense academic theory. Engineers, data scientists, and students alike will examine …
Schaum's Outline of Theory and Problems of Probability by Seymour Lipschutz provides a comprehensive introduction to the basics of probability theory. Aimed at students in mathematics, engineering, and science, the book offers clear explanations of essential topics such as probability distributions, random variables, expected value, and the law of large numbers. The SI (metric) edition is tailo…
Engineering Mathematics is the best-selling introductory mathematics text for students on science and engineering degree and pre-degree courses. Sales of previous editions stand at more than half a million copies. It is suitable for classroom use and self-study. Its unique programmed approach takes students through the mathematics they need in a step-by-step fashion with a wealth of examples…