Basic Concepts Of Data And Error Analysis

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Basic Concepts Of Data And Error Analysis

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Author : Panayiotis Nicos Kaloyerou
language : en
Publisher: Springer
Release Date : 2018-10-24

Basic Concepts Of Data And Error Analysis written by Panayiotis Nicos Kaloyerou and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-24 with Technology & Engineering categories.

This introductory textbook explains the concepts and methods of data and error analysis needed for laboratory experiment write-ups, especially physics and engineering experiments. The book contains the material needed for beginning students, e.g., first year university students, college students (enrolled on a certificate or diploma course) and even A-level students. Nevertheless, it also covers the required material for higher year university laboratories, including the final year. Only essential concepts and methods needed for the day-to-day performance of experiments and their subsequent analysis and presentation are included and, at the same time, presented as simply as possible. Non-essential detail is avoided. Chapter five is a stand-alone introduction to probability and statistics aimed at providing a theoretical background to the data and error analysis chapters one to four. Computer methods are introduced in Chapter six. The author hopes this book will serve as a constant reference.

Basic Concepts Of Data And Error Analysis

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Author : Panayiotis Nicos Kaloyerou
language : en
Publisher:
Release Date : 2018

Basic Concepts Of Data And Error Analysis written by Panayiotis Nicos Kaloyerou and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with Engineering mathematics categories.

This introductory textbook explains the concepts and methods of data and error analysis needed for laboratory experiment write-ups, especially physics and engineering experiments. The book contains the material needed for beginning students, e.g., first year university students, college students (enrolled on a certificate or diploma course) and even A-level students. Nevertheless, it also covers the required material for higher year university laboratories, including the final year. Only essential concepts and methods needed for the day-to-day performance of experiments and their subsequent analysis and presentation are included and, at the same time, presented as simply as possible. Non-essential detail is avoided. Chapter five is a stand-alone introduction to probability and statistics aimed at providing a theoretical background to the data and error analysis chapters one to four. Computer methods are introduced in Chapter six. The author hopes this book will serve as a constant reference.

Signal Processing And Data Analysis

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Author : Tianshuang Qiu
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2018-07-09

Signal Processing And Data Analysis written by Tianshuang Qiu and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-07-09 with Technology & Engineering categories.

This book presents digital signal processing theories and methods and their applications in data analysis, error analysis and statistical signal processing. Algorithms and Matlab programming are included to guide readers step by step in dealing with practical difficulties. Designed in a self-contained way, the book is suitable for graduate students in electrical engineering, information science and engineering in general.

Comet For Data Science

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Author : Angelica Lo Duca
language : en
Publisher: Packt Publishing Ltd
Release Date : 2022-08-26

Comet For Data Science written by Angelica Lo Duca and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-26 with Computers categories.

Gain the key knowledge and skills required to manage data science projects using Comet Key Features • Discover techniques to build, monitor, and optimize your data science projects • Move from prototyping to production using Comet and DevOps tools • Get to grips with the Comet experimentation platform Book Description This book provides concepts and practical use cases which can be used to quickly build, monitor, and optimize data science projects. Using Comet, you will learn how to manage almost every step of the data science process from data collection through to creating, deploying, and monitoring a machine learning model. The book starts by explaining the features of Comet, along with exploratory data analysis and model evaluation in Comet. You'll see how Comet gives you the freedom to choose from a selection of programming languages, depending on which is best suited to your needs. Next, you will focus on workspaces, projects, experiments, and models. You will also learn how to build a narrative from your data, using the features provided by Comet. Later, you will review the basic concepts behind DevOps and how to extend the GitLab DevOps platform with Comet, further enhancing your ability to deploy your data science projects. Finally, you will cover various use cases of Comet in machine learning, NLP, deep learning, and time series analysis, gaining hands-on experience with some of the most interesting and valuable data science techniques available. By the end of this book, you will be able to confidently build data science pipelines according to bespoke specifications and manage them through Comet. What you will learn • Prepare for your project with the right data • Understand the purposes of different machine learning algorithms • Get up and running with Comet to manage and monitor your pipelines • Understand how Comet works and how to get the most out of it • See how you can use Comet for machine learning • Discover how to integrate Comet with GitLab • Work with Comet for NLP, deep learning, and time series analysis Who this book is for This book is for anyone who has programming experience, and wants to learn how to manage and optimize a complete data science lifecycle using Comet and other DevOps platforms. Although an understanding of basic data science concepts and programming concepts is needed, no prior knowledge of Comet and DevOps is required.

Group Theory Instrumentation Chemistry Computer For Chemists

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Author : Mr. Rohit Manglik
language : en
Publisher: EduGorilla Publication
Release Date : 2023-05-23

Group Theory Instrumentation Chemistry Computer For Chemists written by Mr. Rohit Manglik and has been published by EduGorilla Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-23 with Science categories.

Group theory and instrumentation are covered. Guides students to analyze chemical systems, fostering expertise in computational chemistry through practical applications and theoretical study.

Proceedings Of The International Joint Conference On Arts And Humanities 2022 Ijcah 2022

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Author : Slamet Setiawan
language : en
Publisher: Springer Nature
Release Date : 2023-04-18

Proceedings Of The International Joint Conference On Arts And Humanities 2022 Ijcah 2022 written by Slamet Setiawan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-18 with Education categories.

This is an open access book. This joint conference features four international conferences: International Conference on Education Innovation (ICEI), International Conference on Cultural Studies and Applied Linguistics (ICCSAL), International Conference on Research and Academic Community Services (ICRACOS), and International Conference of Social Science and Law (ICSSL).It encourages dissemination of ideas in arts and humanities and provides a forum for intellectuals from all over the world to discuss and present their research findings on the research areas. This conference was held in Surabaya, East Java, Indonesia on September 10, 2022 – September 11, 2022. We are inviting academics, researchers, and practitioners to submit research-based papers or theoretical papers that address any topics within the broad areas of Arts and Humanities.

Key Concepts In Measurement

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Author : Brian E. Perron
language : en
Publisher: Oxford University Press
Release Date : 2015-03-06

Key Concepts In Measurement written by Brian E. Perron and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-03-06 with Social Science categories.

Measurement refers generally to the process of assigning a numeric value to, or ordering characteristics or traits of, entities under study. Measurement is necessary for building and testing theory, specifying problems, and defining goals. It is arguably one of the most important and diffcult tasks in social work research. Social work researchers who are not expert in developing, selecting, and using measures will not be able to contribute maximally to the social work knowledge base. Such knowledge and skills related to measurement ultimately determines the extent to which social work research can effectively inform social policy and social work interventions. This book is to serve as a guide for developing, selecting, and using measures in social work research. In particular, this book provides a detailed review of contemporary validity theory; an update on the major issues of reliability; common errors in measurement of latent variables; and suggestions on measurement of social networks and collectives. An important theme of this book is the focus on the creative potential of measurement - that is, helping social work researchers think about the wide variety of ways that social work concepts can be measured. Reflecting on these differences raises questions about underlying assumptions that in turn inspires creative theoretical insights. Rather than seeing measurement as simply a task to be completed in the research process, we will encourage the reader to think creatively about measurement and theory. This book also addresses the interdependency of measurement and theory construction. In other words, this book covers how measurement and theory are connected in two different ways. First, every measure has its own working theory that relates the measure to the concept being measured. Second, theory construction is dependent on measurement. What we learn using a given measure could be different if a concept was measured in a different way.

Mastering Data Science A Comprehensive Guide To Techniques And Applications

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Author : Adam Jones
language : en
Publisher: Walzone Press
Release Date : 2025-01-05

Mastering Data Science A Comprehensive Guide To Techniques And Applications written by Adam Jones and has been published by Walzone Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-05 with Computers categories.

Embark on your data science journey with "Mastering Data Science: A Comprehensive Guide to Techniques and Applications," the ultimate resource for mastering the vast landscape of data science. Whether you're a novice eager to explore the field or an expert looking to refine and expand your skills, this book provides a thorough exploration of essential data science techniques and applications. Discover the foundational principles of data wrangling, preprocessing, statistical fundamentals, and essential mathematical techniques. Delve into the complexities of machine learning, deep learning, and natural language processing with clear explanations that connect theory to real-world practice. Each chapter is carefully designed to unravel complex concepts and features practical examples to enhance your understanding. Explore the intricacies of time series analysis, develop proficiency in crafting compelling data visualizations, and learn to effectively deploy machine learning models. With a focus on practical application, this guide not only imparts theoretical insights but also empowers you to address data science challenges confidently. Unlock the potential of data science to innovate, solve critical problems, and make informed decisions in today's data-centric world with "Mastering Data Science: A Comprehensive Guide to Techniques and Applications."

Shreir S Corrosion

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Author :
language : en
Publisher: Elsevier
Release Date : 2009-02-27

Shreir S Corrosion written by and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-02-27 with Technology & Engineering categories.

This four-volume reference work builds upon the success of past editions of Elsevier’s Corrosion title (by Shreir, Jarman, and Burstein), covering the range of innovations and applications that have emerged in the years since its publication. Developed in partnership with experts from the Corrosion and Protection Centre at the University of Manchester, Shreir’s Corrosion meets the research and productivity needs of engineers, consultants, and researchers alike. Incorporates coverage of all aspects of the corrosion phenomenon, from the science behind corrosion of metallic and non-metallic materials in liquids and gases to the management of corrosion in specific industries and applications Features cutting-edge topics such as medical applications, metal matrix composites, and corrosion modeling Covers the benefits and limitations of techniques from scanning probes to electrochemical noise and impedance spectroscopy

Engineering Students And The Application Of Science

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Author : Dr. Rajeev Kumar Chauhan
language : en
Publisher: JEC PUBLICATION
Release Date :

Engineering Students And The Application Of Science written by Dr. Rajeev Kumar Chauhan and has been published by JEC PUBLICATION this book supported file pdf, txt, epub, kindle and other format this book has been release on with Medical categories.

Engineering has long been recognized as a driving force behind the world's most significant advancements, bridging the realms of scientific discovery and real-world application. As we stand at the threshold of an era defined by unprecedented technological growth, climate urgency, global interconnectedness, and shifting societal demands, the role of engineers—and more importantly, engineering students—has never been more crucial. This book, Engineering Students and the Application of Science, was born out of a deep understanding that today’s students are not merely future practitioners but pivotal contributors to the ongoing evolution of engineering as a discipline and as a catalyst for global change. Throughout my academic journey and professional experience, I observed a growing gap between the pure scientific principles taught in classrooms and their dynamic, interdisciplinary, real-world applications. The intent of this book is to address that gap by equipping students with both the foundational scientific knowledge and the contextual understanding necessary to innovate, adapt, and lead in the modern world. This book is not just another academic text listing formulas, theories, or definitions; it is a curated exploration of how science breathes life into engineering, inspiring creativity, solving real problems, and fostering sustainable progress. It acknowledges that engineering today requires more than technical expertise—it demands critical thinking, ethical responsibility, collaboration across disciplines, adaptability in the face of emerging technologies, and a genuine commitment to societal well-being. With this perspective, the book delves deeply into the multifaceted relationship between applied science and engineering practice, showcasing how core scientific disciplines such as mathematics, physics, chemistry, and material science serve as the bedrock for engineering innovation across fields as diverse as civil infrastructure, biomedical technology, robotics, aerospace, and environmental solutions.