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Linear Algebra For Dummies
Linear Algebra For Dummies

Your hands-on guide to real-world applications of linear algebra

Does linear algebra leave you feeling lost? No worries —this easy-to-follow guide explains the how and the why of solving linear algebra problems in plain English. From matrices to vector spaces to linear transformations, you'll understand the key concepts and see how...

Graphing Data with R: An Introduction
Graphing Data with R: An Introduction

It’s much easier to grasp complex data relationships with a graph than by scanning numbers in a spreadsheet. This introductory guide shows you how to use the R language to create a variety of useful graphs for visualizing and analyzing complex data for science, business, media, and many other fields. You’ll learn methods...

Approximate Kalman Filtering (Approximations and Decompositions)
Approximate Kalman Filtering (Approximations and Decompositions)

Kalman filtering algorithm gives optimal (linear, unbiased and minimum error-variance) estimates of the unknown state vectors of a linear dynamic-observation system, under the regular conditions such as perfect data information; complete noise statistics; exact linear modelling; ideal will-conditioned matrices in computation and strictly...

Advanced Color Image Processing and Analysis
Advanced Color Image Processing and Analysis

This volume does much more than survey modern advanced color processing. Starting with a historical perspective on ways we have classified color, it sets out the latest numerical techniques for analyzing and processing colors, the leading edge in our search to accurately record and print what we see. The human eye perceives only a fraction of...

OpenCV 3.x with Python By Example: Make the most of OpenCV and Python to build applications for object recognition and augmented reality, 2nd Edition
OpenCV 3.x with Python By Example: Make the most of OpenCV and Python to build applications for object recognition and augmented reality, 2nd Edition

Learn the techniques for object recognition, 3D reconstruction, stereo imaging, and other computer vision applications using examples on different functions of OpenCV.

Key Features

  • Learn how to apply complex visual effects to images with OpenCV 3.x and Python
  • Extract...
Finite Element Method Using MATLAB (Mechanical Engineering)
Finite Element Method Using MATLAB (Mechanical Engineering)
The finite element method (FEM) has become one of the most important and useful tools for scientists and engineers. This new book features the use of MATLAB to present introductory and advanced finite element theories and formulations. MATLAB is especially convenient to write and understand finite element analysis programs because a MATLAB...
Business Intelligence Roadmap: The Complete Project Lifecycle for Decision-Support Applications
Business Intelligence Roadmap: The Complete Project Lifecycle for Decision-Support Applications

"If you are looking for a complete treatment of business intelligence, then go no further than this book. Larissa T. Moss and Shaku Atre have covered all the bases in a cohesive and logical order, making it easy for the reader to follow their line of thought. From early design to ETL to physical database design, the book...

NumPy Beginner's Guide  - Second Edition
NumPy Beginner's Guide - Second Edition

An action packed guide using real world examples of the easy to use, high performance, free open source NumPy mathematical library

Overview

  • Perform high performance calculations with clean and efficient NumPy code
  • Analyze large data sets with statistical functions
  • Execute...
MATLAB Programming for Numerical Analysis
MATLAB Programming for Numerical Analysis

MATLAB is a high-level language and environment for numerical computation, visualization, and programming. Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and built-in math functions enable you to explore multiple approaches and reach a solution faster than with spreadsheets or...

   
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