 Home | Amazing | Today | Tags | Publishers | Years | Account | Search     MATLAB Machine Learning Recipes: A Problem-Solution Approach
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....  Mastering ROS for Robotics Programming - Second Edition: Design, build, and simulate complex robots using the Robot Operating System

Discover best practices and troubleshooting solutions when working on ROS

#### Key Features

• Develop complex robotic applications using ROS to interface robot manipulators and mobile robots
• Gain insight into autonomous navigation in mobile robots and motion planning in robot...  Introduction to Octave: For Engineers and Scientists
Familiarize yourself with Octave using this concise, practical tutorial that is focused on writing code to learn concepts. Starting from the basics, this book covers array-based computing, plotting, and working with files in Octave, which can run MATLAB files without modification. Introduction to Octave is useful... Julia 1.0 Programming: Dynamic and high-performance programming to build fast scientific applications, 2nd Edition

Enter the exciting world of Julia, a high-performance language for technical computing

#### Key Features

• Leverage Julia's high speed and efficiency for your applications
• Work with Julia in a multi-core, distributed, and networked environment
• Apply Julia to...  Linear Algebra and Probability for Computer Science Applications

Based on the author’s course at NYU, Linear Algebra and Probability for Computer Science Applications gives an introduction to two mathematical fields that are fundamental in many areas of computer science. The course and the text are addressed to students with a very weak mathematical background. Most of the...  Partial Differential Equation Analysis in Biomedical Engineering: Case Studies with Matlab

Aimed at graduates and researchers, and requiring only a basic knowledge of multi-variable calculus, this introduction to computer-based partial differential equation (PDE) modeling provides readers with the practical methods necessary to develop and use PDE mathematical models in biomedical engineering. Taking an applied approach, rather...  Probability and Statistics for Computer Scientists Student-Friendly Coverage of Probability, Statistical Methods, Simulation, and Modeling Tools Incorporating feedback from instructors and researchers who used the previous edition, Probability and Statistics for Computer Scientists, Second Edition helps students understand general methods of stochastic...   Modeling of Curves and Surfaces with MATLAB® This text on geometry modeling is devoted to a number of central geometrical topics— graphs of functions, transformations, (non-)Euclidean geometries, curves and surfaces— and presents some elementary methods for analytical modeling and visualization of them. In 1872 F. Klein proposed his Erlangen Programme in...   Numerical Methods for Engineers and Scientists Using MATLAB® Designed to benefit scientific and engineering applications, Numerical Methods for Engineers and Scientists Using MATLAB® focuses on the fundamentals of numerical methods while making use of MATLAB software. The book introduces MATLAB early on and incorporates it throughout the chapters to perform symbolic,...  Mastering MATLAB Mastering MATLAB covers the essential aspects of MATLAB presented in an easy- to-follow "learn while doing" tutorial format. It is appropriate for undergraduate and graduate courses in MATLAB, as a reference in courses where MATLAB is used,  or as a self-study reference. ...   The Finite Element Method: Theory, Implementation, and Applications (Texts in Computational Science and Engineering) This book gives an introduction to the finite element method as a general computational method for solving partial differential equations approximately. Our approach is mathematical in nature with a strong focus on the underlying mathematical principles, such as approximation properties of piecewise polynomial spaces, and variational...   Linear and Nonlinear Multivariable Feedback Control: A Classical Approach Automatic feedback control systems play crucial roles in many fields, including manufacturing industries, communications, naval and space systems. At its simplest, a control system represents a feedback loop in which the difference between the ideal (input) and actual (output) signals is used to modify the behaviour of the system. Control... Result Page: 35 34 33 32 31 30 29 28 27 26