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Mechanical Engineering Systems (IIE Core Textbooks Series)
Mechanical Engineering Systems (IIE Core Textbooks Series)
The authors of Mechanical Engineering Systems have taken a highly practical approach within this book, bringing the subject to life through a lively text supported by numerous activities and case studies. Little prior knowledge of mathematics is assumed and so key numerical and statistical techniques are introduced through unique Maths in Action...
Scientific and Statistical Database Management: 23rd International Conference, SSDBM 2011
Scientific and Statistical Database Management: 23rd International Conference, SSDBM 2011

Welcome to the proceedings of the 23rd International Conference on Scientific and Statistical Database Management held in Portland, Oregon, where it celebrated its 30th birthday. The first incarnation of SSDBM (then called the Workshop on Statistical Database Management) took place in Menlo Park, California, in December 1981. Since...

The Six Sigma Handbook: The Complete Guide for Greenbelts, Blackbelts, and Managers at All Levels, Revised and Expanded Edition
The Six Sigma Handbook: The Complete Guide for Greenbelts, Blackbelts, and Managers at All Levels, Revised and Expanded Edition

The most comprehensive Six Sigma reference available, now revised and expanded. Completely rewritten and reorganized, this second edition of The Six Sigma Handbook covers all the basic statistics and quality improvement tools of the Six Sigma quality management system. This new edition reflects the developments in Six Sigma over the...

Hands-On Neural Networks with Keras: Design and create neural networks using deep learning and artificial intelligence principles
Hands-On Neural Networks with Keras: Design and create neural networks using deep learning and artificial intelligence principles

Your one-stop guide to learning and implementing artificial neural networks with Keras effectively

Key Features

  • Design and create neural network architectures on different domains using Keras
  • Integrate neural network models in your applications using this highly practical...
Applied Statistics and Probability for Engineers
Applied Statistics and Probability for Engineers

Real Engineering Situations, Real Engineering Data

With Montgomery and Runger’s best-selling engineering statistics text, you can learn how to apply statistics to real engineering situations. The text shows you how to use statistical methods to design and develop new products, and new manufacturing...

Interactive Segmentation Techniques: Algorithms and Performance Evaluation (SpringerBriefs in Electrical and Computer Engineering)
Interactive Segmentation Techniques: Algorithms and Performance Evaluation (SpringerBriefs in Electrical and Computer Engineering)

This book focuses on interactive segmentation techniques, which have been extensively studied in recent decades. Interactive segmentation emphasizes clear extraction of objects of interest, whose locations are roughly indicated by human interactions based on high level perception. This book will first introduce classic graph-cut segmentation...

Modern Analysis of Customer Surveys: with Applications using R
Modern Analysis of Customer Surveys: with Applications using R
Customer survey studies deals with customers, consumers and user satisfaction from a product or service. In practice, many of the customer surveys conducted by business and industry are analyzed in a very simple way, without using models or statistical methods. Typical reports include descriptive statistics and basic graphical displays. As...
SPSS 13.0 Base Users Guide
SPSS 13.0 Base Users Guide

SPSS for Windows provides a powerful statistical analysis and data management system in a graphical environment, using descriptive menus and simple dialog boxes to do most of the work for you. Most tasks can be accomplished simply by pointing and clicking the mouse.

SPSS Base 13.0 Users Guide provides a thorough explanation...

Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib
Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib

Leverage the numerical and mathematical modules in Python and its standard library as well as popular open source numerical Python packages like NumPy, SciPy, FiPy, matplotlib and more. This fully revised edition, updated with the latest details of each package and changes to Jupyter projects, demonstrates how to numerically compute...

Encyclopedia of Addictions [2 volumes]
Encyclopedia of Addictions [2 volumes]

This two volume set contains frank and factual information about symptoms, causes, effects, prevention, and treatment of substance abuse—alcohol, nicotine, and drugs—and of behavioral addictions such as eating disorders, pathological gambling, and compulsive sexual activity. Including the most up-to-date research, the addiction...

R Cookbook (O'Reilly Cookbooks)
R Cookbook (O'Reilly Cookbooks)

R is a powerful tool for statistics, graphics, and statistical programming. It is used by tens of thousands of people daily to perform serious statistical analyses. It is a free, open source system whose implementation is the collective accomplishment of many intelligent, hard-working people. There are more than 2,000 available add-ons, and R...

R in a Nutshell (In a Nutshell (O'Reilly))
R in a Nutshell (In a Nutshell (O'Reilly))

If you’re considering R for statistical computing and data visualization, this book provides a quick and practical guide to just about everything you can do with the open source R language and software environment. You’ll learn how to write R functions and use R packages to help you prepare, visualize, and analyze data....

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