The.Hottest

Michael Paluszek, Stephanie Thomas ... 368 pages - Publisher: Apress; 2nd edition (February, 2019) ... Language: English - ISBN-10: 1484239156 - ISBN-13: 978-1484239155. 

Harness the power of MATLAB to resolve a wide range of machine learning challenges. This book provides a series of examples of technologies critical to machine learning. Each example solves a real-world problem. All code in MATLAB Machine Learning Recipes: A Problem-Solution Approach is executable. The toolbox that the code uses provides a complete set of functions needed to implement all aspects of machine learning. Authors Michael Paluszek and Stephanie Thomas show how all of these technologies allow the reader to build sophisticated applications to solve problems with pattern recognition, autonomous driving, expert systems, and much more.

What you'll learn: How to write code for machine learning, adaptive control and estimation using MATLAB + How these three areas complement each other + How these three areas are needed for robust machine learning applications + How to use MATLAB graphics and visualization tools for machine learning + How to code real world examples in MATLAB for major applications of machine learning in big data. Who is this book for: The primary audiences are engineers, data scientists and students wanting a comprehensive and code cookbook rich in examples on machine learning using MATLAB.

James F. Doyle ... 442 pages - Publisher: Springer; (July, 1991) ... Language: English - ISBN-10: 0792312082 - ISBN-13: 978-0792312086.

This book is concerned with the static and dynamic analysis of structures. Specifi­ cally, it uses the stiffness formulated matrix methods for use on computers to tackle some of the fundamental problems facing engineers in structural mechanics. This is done by covering the Mechanics of Structures, its rephrasing in terms of the Matrix Methods, and then their Computational implementation, all within a cohesivesetting. Although this book is designed primarily as a text for use at the upper-undergraduate and beginning graduate level, many practicing structural engineers will find it useful as a reference and self-study guide. Several dozen books on structural mechanics and as many on matrix methods are currently available. A natural question to ask is why another text? An odd devel­ opment has occurred in engineering in recent years that can serve as a backdrop to why this book was written. With the widespread availability and use of comput­ ers, today's engineers have on their desk tops an analysis capability undreamt of by previous generations. However, the ever increasing quality and range of capabilities of commercially available software packages has divided the engineering profession into two groups: a small group of specialist program writers that know the ins and outs of the coding, algorithms, and solution strategies; and a much larger group of practicing engineers who use the programs. It is possible for this latter group to use this enormous power without really knowing anything of its source.

George Simmons, Steven Krantz ... 544 pages - Publisher: McGraw-Hill; (January, 2006) ... Language: English - ISBN-10: 0072863153 - ISBN-13: 978-0072863154.

This traditional text is intended for mainstream one- or two-semester differential equations courses taken by undergraduates majoring in engineering, mathematics, and the sciences. Written by two of the world’s leading authorities on differential equations, Simmons/Krantz provides a cogent and accessible introduction to ordinary differential equations written in classical style. Its rich variety of modern applications in engineering, physics, and the applied sciences illuminate the concepts and techniques that students will use through practice to solve real-life problems in their careers.

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