Data Analytics Computational Statistics And Operations Research For Engineers PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Data Analytics Computational Statistics And Operations Research For Engineers PDF full book. Access full book title Data Analytics Computational Statistics And Operations Research For Engineers.
| Author | : Debabrata Samanta |
| Publisher | : CRC Press |
| Total Pages | : 296 |
| Release | : 2022-04-05 |
| Genre | : Technology & Engineering |
| ISBN | : 1000550427 |
Download Data Analytics, Computational Statistics, and Operations Research for Engineers Book in PDF, ePub and Kindle
With the rapidly advancing fields of Data Analytics and Computational Statistics, it’s important to keep up with current trends, methodologies, and applications. This book investigates the role of data mining in computational statistics for machine learning. It offers applications that can be used in various domains and examines the role of transformation functions in optimizing problem statements. Data Analytics, Computational Statistics, and Operations Research for Engineers: Methodologies and Applications presents applications of computationally intensive methods, inference techniques, and survival analysis models. It discusses how data mining extracts information and how machine learning improves the computational model based on the new information. Those interested in this reference work will include students, professionals, and researchers working in the areas of data mining, computational statistics, operations research, and machine learning.
| Author | : Nadja Bauer |
| Publisher | : |
| Total Pages | : 340 |
| Release | : 2019 |
| Genre | : Electronic books |
| ISBN | : 9783030251482 |
Download Applications in Statistical Computing Book in PDF, ePub and Kindle
This volume presents a selection of research papers on various topics at the interface of statistics and computer science. Emphasis is put on the practical applications of statistical methods in various disciplines, using machine learning and other computational methods. The book covers fields of research including the design of experiments, computational statistics, music data analysis, statistical process control, biometrics, industrial engineering, and econometrics. Gathering innovative, high-quality and scientifically relevant contributions, the volume was published in honor of Claus Weihs, Professor of Computational Statistics at TU Dortmund University, on the occasion of his 66th birthday.
| Author | : Luis Rabelo |
| Publisher | : CRC Press |
| Total Pages | : 218 |
| Release | : 2021-09-27 |
| Genre | : Technology & Engineering |
| ISBN | : 1000453766 |
Download Engineering Analytics Book in PDF, ePub and Kindle
Engineering analytics is becoming a necessary skill for every engineer. Areas such as Operations Research, Simulation, and Machine Learning can be totally transformed through massive volumes of data. This book is intended to be an introduction to Engineering Analytics that can be used to improve performance tracking, customer segmentation for resource optimization, patterns and classification strategies, and logistics control towers. Basic methods in the areas of visual, descriptive, predictive, and prescriptive analytics and Big Data are introduced. Industrial case studies and example problem demonstrations are used throughout the book to reinforce the concepts and applications. The book goes on to cover visual analytics and its relationships, simulation from the respective dimensions and Machine Learning and Artificial Intelligence from different paradigms viewpoints. The book is intended for professionals wanting to work on analytical problems, for Engineering students, Researchers, Chief-Technology Officers, and Directors that work within the areas and fields of Industrial Engineering, Computer Science, Statistics, Electrical Engineering Operations Research, and Big Data.
| Author | : Debabrata Samanta |
| Publisher | : CRC Press |
| Total Pages | : 0 |
| Release | : 2022-04-05 |
| Genre | : Technology & Engineering |
| ISBN | : 100055046X |
Download Data Analytics, Computational Statistics, and Operations Research for Engineers Book in PDF, ePub and Kindle
With the rapidly advancing fields of Data Analytics and Computational Statistics, it’s important to keep up with current trends, methodologies, and applications. This book investigates the role of data mining in computational statistics for machine learning. It offers applications that can be used in various domains and examines the role of transformation functions in optimizing problem statements. Data Analytics, Computational Statistics, and Operations Research for Engineers: Methodologies and Applications presents applications of computationally intensive methods, inference techniques, and survival analysis models. It discusses how data mining extracts information and how machine learning improves the computational model based on the new information. Those interested in this reference work will include students, professionals, and researchers working in the areas of data mining, computational statistics, operations research, and machine learning.
| Author | : Adedeji B. Badiru |
| Publisher | : CRC Press |
| Total Pages | : 273 |
| Release | : 2020-12-22 |
| Genre | : Technology & Engineering |
| ISBN | : 1000297330 |
Download Data Analytics Book in PDF, ePub and Kindle
Good data analytics is the basis for effective decisions. Whoever has the data, has the ability to extract information promptly and effectively to make pertinent decisions. The premise of this handbook is to empower users and tool developers with the appropriate collection of formulas and techniques for data analytics and to serve as a quick reference to keep pertinent formulas within fingertip reach of readers. This handbook includes formulas that will appeal to mathematically inclined readers. It discusses how to use data analytics to improve decision-making and is ideal for those new to using data analytics to show how to expand their usage horizon. It provides quantitative techniques for modeling pandemics, such as COVID-19. It also adds to the suite of mathematical tools for emerging technical areas. This handbook is a handy reference for researchers, practitioners, educators, and students in areas such as industrial engineering, production engineering, project management, civil engineering, mechanical engineering, technology management, and business management worldwide.
| Author | : Wolfgang Karl Härdle |
| Publisher | : Springer |
| Total Pages | : 538 |
| Release | : 2018-07-20 |
| Genre | : Computers |
| ISBN | : 3319182846 |
Download Handbook of Big Data Analytics Book in PDF, ePub and Kindle
Addressing a broad range of big data analytics in cross-disciplinary applications, this essential handbook focuses on the statistical prospects offered by recent developments in this field. To do so, it covers statistical methods for high-dimensional problems, algorithmic designs, computation tools, analysis flows and the software-hardware co-designs that are needed to support insightful discoveries from big data. The book is primarily intended for statisticians, computer experts, engineers and application developers interested in using big data analytics with statistics. Readers should have a solid background in statistics and computer science.
| Author | : Tanvir Mustafy |
| Publisher | : Springer Nature |
| Total Pages | : 190 |
| Release | : 2024-02-11 |
| Genre | : Technology & Engineering |
| ISBN | : 9819946611 |
Download Statistics and Data Analysis for Engineers and Scientists Book in PDF, ePub and Kindle
This textbook summarizes the different statistical, scientific, and financial data analysis methods for users ranging from a high school level to a professional level. It aims to combine the data analysis methods using three different programs—Microsoft Excel, SPSS, and MATLAB. The book combining the different data analysis tools is a unique approach. The book presents a variety of real-life problems in data analysis and machine learning, delivering the best solution. Analysis methods presented in this book include but are not limited to, performing various algebraic and trigonometric operations, regression modeling, and correlation, as well as plotting graphs and charts to represent the results. Fundamental concepts of applied statistics are also explained here, with illustrative examples. Thus, this book presents a pioneering solution to help a wide range of students, researchers, and professionals learn data processing, interpret different findings derived from the analyses, and apply them to their research or professional fields. The book also includes worked examples of practical problems. The primary focus behind designing these examples is understanding the concepts of data analysis and how it can solve problems. The chapters include practice exercises to assist users in enhancing their skills to execute statistical analysis calculations using software instead of relying on tables for probabilities and percentiles in the present world.
| Author | : Stan Matwin |
| Publisher | : Springer |
| Total Pages | : 404 |
| Release | : 2015-07-07 |
| Genre | : Technology & Engineering |
| ISBN | : 3319187813 |
Download Challenges in Computational Statistics and Data Mining Book in PDF, ePub and Kindle
This volume contains nineteen research papers belonging to the areas of computational statistics, data mining, and their applications. Those papers, all written specifically for this volume, are their authors’ contributions to honour and celebrate Professor Jacek Koronacki on the occcasion of his 70th birthday. The book’s related and often interconnected topics, represent Jacek Koronacki’s research interests and their evolution. They also clearly indicate how close the areas of computational statistics and data mining are.
| Author | : Saeed, Saqib |
| Publisher | : IGI Global |
| Total Pages | : 581 |
| Release | : 2022-10-21 |
| Genre | : Computers |
| ISBN | : 1668452863 |
Download Handbook of Research on Cybersecurity Issues and Challenges for Business and FinTech Applications Book in PDF, ePub and Kindle
Digital transformation in organizations optimizes the business processes but also brings additional challenges in the form of security threats and vulnerabilities. Cyberattacks incur financial losses for organizations and can affect their reputations. Due to this, cybersecurity has become critical for business enterprises. Extensive technological adoption in businesses and the evolution of FinTech applications require reasonable cybersecurity measures to protect organizations from internal and external security threats. Recent advances in the cybersecurity domain such as zero trust architecture, application of machine learning, and quantum and post-quantum cryptography have colossal potential to secure technological infrastructures. The Handbook of Research on Cybersecurity Issues and Challenges for Business and FinTech Applications discusses theoretical foundations and empirical studies of cybersecurity implications in global digital transformation and considers cybersecurity challenges in diverse business areas. Covering essential topics such as artificial intelligence, social commerce, and data leakage, this reference work is ideal for cybersecurity professionals, business owners, managers, policymakers, researchers, scholars, academicians, practitioners, instructors, and students.
| Author | : Segall, Richard S. |
| Publisher | : IGI Global |
| Total Pages | : 237 |
| Release | : 2020-02-21 |
| Genre | : Computers |
| ISBN | : 1799827704 |
Download Open Source Software for Statistical Analysis of Big Data: Emerging Research and Opportunities Book in PDF, ePub and Kindle
With the development of computing technologies in today’s modernized world, software packages have become easily accessible. Open source software, specifically, is a popular method for solving certain issues in the field of computer science. One key challenge is analyzing big data due to the high amounts that organizations are processing. Researchers and professionals need research on the foundations of open source software programs and how they can successfully analyze statistical data. Open Source Software for Statistical Analysis of Big Data: Emerging Research and Opportunities provides emerging research exploring the theoretical and practical aspects of cost-free software possibilities for applications within data analysis and statistics with a specific focus on R and Python. Featuring coverage on a broad range of topics such as cluster analysis, time series forecasting, and machine learning, this book is ideally designed for researchers, developers, practitioners, engineers, academicians, scholars, and students who want to more fully understand in a brief and concise format the realm and technologies of open source software for big data and how it has been used to solve large-scale research problems in a multitude of disciplines.
