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Books tags: logistic
Introduction to Logistics Systems Planning and Control (Wiley Interscience Series in Systems and Optimization)
Introduction to Logistics Systems Planning and Control (Wiley Interscience Series in Systems and Optimization)
Logistic systems constitute one of the cornerstones in the design and control of production systems and the modelling of supply chains. They are key to a number of industries, and courses teaching logistics systems planning and control are becoming more widespread. Introduction to Logistics Systems Planning and Control is the first book to...
SAS/STAT 9.1 User's Guide, Volumes 1-7
SAS/STAT 9.1 User's Guide, Volumes 1-7
SAS/STAT software provides extensive statistical capabilities with tools for both specialized and enterprise-wide analytical needs. It can help you analyze data and make informed decisions for research, engineering, manufacturing, medical, and business applications. This user's guide provides the latest, detailed reference material for the...
Interpreting and Visualizing Regression Models Using Stata
Interpreting and Visualizing Regression Models Using Stata

Interpreting and Visualizing Regression Models Using Stata, Second Edition provides clear and simple examples illustrating how to interpret and visualize a wide variety of regression models. Including over 200 figures, the book illustrates linear models with continuous predictors (modeled linearly, using polynomials,...

Applied Deep Learning: A Case-Based Approach to Understanding Deep Neural Networks
Applied Deep Learning: A Case-Based Approach to Understanding Deep Neural Networks

Work with advanced topics in deep learning, such as optimization algorithms, hyper-parameter tuning, dropout, and error analysis as well as strategies to address typical problems encountered when training deep neural networks. You’ll begin by studying the activation functions mostly with a single neuron (ReLu, sigmoid, and...

Learning Predictive Analytics with Python: Gain practical insights into predictive modelling by implementing Predictive Analytics algorithms on public datasets with Python
Learning Predictive Analytics with Python: Gain practical insights into predictive modelling by implementing Predictive Analytics algorithms on public datasets with Python

Gain practical insights into predictive modelling by implementing Predictive Analytics algorithms on public datasets with Python

About This Book

  • A step-by-step guide to predictive modeling including lots of tips, tricks, and best practices
  • Get to grips with the basics of Predictive...
Deterministic and Random Evolution (Mathematics Research Developments)
Deterministic and Random Evolution (Mathematics Research Developments)
The first notes for this text were written during the summers of 2008–2010 when I taught a short course on mathematical modeling at the University of New Mexico. The audience consisted mostly of undergraduate mathematics students, and an aim of the course was to interest them in math at the graduate level.

The...
Apache Mahout Cookbook
Apache Mahout Cookbook

A fast, fresh, developer-oriented dive into the world of Mahout

Overview

  • Learn how to set up a Mahout development environment
  • Start testing Mahout in a standalone Hadoop cluster
  • Learn to find stock market direction using logistic regression
  • Over 35 recipes with...
Aquatic Invasions in the Black, Caspian, and Mediterranean Seas
Aquatic Invasions in the Black, Caspian, and Mediterranean Seas
The present volume contains the presentations of a NATO advanced Research Workshop
(ARW) entitled “The invasion of the Black, Mediterranean and Caspian Seas by the
American Ctenophore, Mnemiopsis leidyi Agassiz: a multidisciplinary perspective
and a comparison with other aquatic invasions”, held on 24 - 26 June 2002 in...
Multi-objective Management in Freight Logistics: Increasing Capacity, Service Level and Safety with Optimization Algorithms
Multi-objective Management in Freight Logistics: Increasing Capacity, Service Level and Safety with Optimization Algorithms
The complexity of modern supply chains requires decision makers in logistics to work with a set of efficient (Pareto optimal) solutions, mainly to catch different economic aspects for which one optimal solution related to a single objective function is not able to capture entirely. Motivated by this, and by recent changes in global markets and the...
A Statistical Approach to Neural Networks for Pattern Recognition (Wiley Series in Computational Statistics)
A Statistical Approach to Neural Networks for Pattern Recognition (Wiley Series in Computational Statistics)
"The book provides an excellent introduction to neutral networks from a statistical perspective." (International Statistical Review, 2008)

"Successful connects logistic regression and linear discriminant analysis, thus making it critical reference and self-study guide for students and professionals alike in the...

Regression Analysis with R: Design and develop statistical nodes to identify unique relationships within data at scale
Regression Analysis with R: Design and develop statistical nodes to identify unique relationships within data at scale

Build effective regression models in R to extract valuable insights from real data

Key Features

  • Implement different regression analysis techniques to solve common problems in data science - from data exploration to dealing with missing values
  • From Simple Linear Regression...
Categorical Data Analysis Using SAS, Third Edition
Categorical Data Analysis Using SAS, Third Edition

Statisticians and researchers will find Categorical Data Analysis Using SAS, Third Edition, by Maura Stokes, Charles Davis, and Gary Koch, to be a useful discussion of categorical data analysis techniques as well as an invaluable aid in applying these methods with SAS. Practical examples from a broad range of applications illustrate...

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