 Numerical Methods for Chemical Engineering: Applications in MATLAB
Suitable for a first year graduate course, this textbook unites the applications of numerical mathematics and scientific computing to the practice of chemical engineering. Written in a pedagogic style, the book describes basic linear and nonlinear algebric systems all the way through to stochastic methods, Bayesian statistics and parameter... |  |  Mathematics for Business, Science, and Technology
This text is targeted at high school seniors who plan to enter business, science, and technology related fields, and working professionals seeking to enhance their knowledge on various math topics including probability and optimization methods. This book begins with the basic mathematical operations and ends with advanced and yet practical... |  |  Introduction to Machine Learning with R: Rigorous Mathematical Analysis
Machine learning is an intimidating subject until you know the fundamentals. If you understand basic coding concepts, this introductory guide will help you gain a solid foundation in machine learning principles. Using the R programming language, you’ll first start to learn with regression modelling and then move into more... |