Buy wikid.eu ?

Products related to In-text:


  • Knowledge, Text and Practice in Ancient Technical Writing
    Knowledge, Text and Practice in Ancient Technical Writing

    The relationship between theory and practice, in other words between norms indicated in a text and their extra-textual application, is one of the most fascinating issues in the history and theory of science.Yet this aspect has often been taken for granted and never explored in depth.The essays contained in this volume provide a complex and nuanced discussion of this relationship as it emerges in ancient Greek and Roman culture in a number of fields, such as agriculture, architecture, the art of love, astronomy, ethics, mechanics, medicine, pharmacology.The main focus is on the textuality of processes of the transmission of knowledge and its application in various fields.Given that a text always contains complex and destabilising aspects that cannot be reduced to the specific subject matter it discusses, to what extent can and do ancient texts support extra-textual applicability?

    Price: 30.99 £ | Shipping*: 0.00 £
  • MANAGEMENT INFORMATION - STUDY TEXT
    MANAGEMENT INFORMATION - STUDY TEXT


    Price: 20.00 £ | Shipping*: 3.99 £
  • Supervised Machine Learning for Text Analysis in R
    Supervised Machine Learning for Text Analysis in R

    Text data is important for many domains, from healthcare to marketing to the digital humanities, but specialized approaches are necessary to create features for machine learning from language.Supervised Machine Learning for Text Analysis in R explains how to preprocess text data for modeling, train models, and evaluate model performance using tools from the tidyverse and tidymodels ecosystem.Models like these can be used to make predictions for new observations, to understand what natural language features or characteristics contribute to differences in the output, and more.If you are already familiar with the basics of predictive modeling, use the comprehensive, detailed examples in this book to extend your skills to the domain of natural language processing.This book provides practical guidance and directly applicable knowledge for data scientists and analysts who want to integrate unstructured text data into their modeling pipelines.Learn how to use text data for both regression and classification tasks, and how to apply more straightforward algorithms like regularized regression or support vector machines as well as deep learning approaches.Natural language must be dramatically transformed to be ready for computation, so we explore typical text preprocessing and feature engineering steps like tokenization and word embeddings from the ground up.These steps influence model results in ways we can measure, both in terms of model metrics and other tangible consequences such as how fair or appropriate model results are.

    Price: 49.99 £ | Shipping*: 0.00 £
  • Machine Learning for Text
    Machine Learning for Text

    This second edition textbook covers a coherently organized framework for text analytics, which integrates material drawn from the intersecting topics of information retrieval, machine learning, and natural language processing.Particular importance is placed on deep learning methods.The chapters of this book span three broad categories:1.Basic algorithms: Chapters 1 through 7 discuss the classical algorithms for text analytics such as preprocessing, similarity computation, topic modeling, matrix factorization, clustering, classification, regression, and ensemble analysis. 2. Domain-sensitive learning and information retrieval: Chapters 8 and 9 discuss learning models in heterogeneous settings such as a combination of text with multimedia or Web links.The problem of information retrieval and Web search is also discussed in the context of its relationship with ranking and machine learning methods. 3. Natural language processing: Chapters 10 through 16 discuss various sequence-centric and natural language applications, such as feature engineering, neural language models, deep learning, transformers, pre-trained language models, text summarization, information extraction, knowledge graphs, question answering, opinion mining, text segmentation, and event detection.Compared to the first edition, this second edition textbook (which targets mostly advanced level students majoring in computer science and math) has substantially more material on deep learning and natural language processing.Significant focus is placed on topics like transformers, pre-trained language models, knowledge graphs, and question answering.

    Price: 64.99 £ | Shipping*: 0.00 £
  • How can you read text information in PowerShell?

    In PowerShell, you can read text information using the Get-Content cmdlet. This cmdlet allows you to read the contents of a text file and display it in the console. You can also use the Read-Host cmdlet to prompt the user for input and read text information entered by the user. Additionally, you can use the Out-File cmdlet to write text information to a file.

  • How can one read text information in PowerShell?

    In PowerShell, one can read text information using the Get-Content cmdlet. This cmdlet allows users to read the content of a text file and display it in the PowerShell console. Users can specify the file path as an argument to the Get-Content cmdlet to read the text information from a specific file. Additionally, users can use the -Raw parameter to read the entire content of the file as a single string, or use the -TotalCount parameter to read only a specified number of lines from the file.

  • How do you distinguish important information from unimportant information in the text?

    To distinguish important information from unimportant information in the text, I first look for key words or phrases that are relevant to the main topic or theme. I also pay attention to any supporting details or evidence that directly contribute to the central idea. Additionally, I consider the context and purpose of the text to determine the significance of the information. Finally, I prioritize information that is directly related to the main argument or message of the text, while disregarding any tangential or repetitive details.

  • Why is the information text incomprehensible?

    The information text may be incomprehensible for several reasons. It could be due to complex or technical language that is difficult for the reader to understand. Additionally, the text may lack clear organization or structure, making it hard for the reader to follow the main points. Furthermore, the information may be presented in a way that assumes prior knowledge or expertise on the topic, leaving the reader feeling confused and overwhelmed.

Similar search terms for In-text:


  • Action Research in Education : Learning Through Practitioner Enquiry
    Action Research in Education : Learning Through Practitioner Enquiry

    Action Research in Education is an essential guide for any lecturer, teacher or student-teacher interested in doing research.This exciting new edition of a popular text is an important resource for any education professional interested in investigating learning and teaching.Building on the success of Action Research in the Classroom, the authors have revised, updated and extended this book to include examples from further and higher education. It maps out easy-to-follow steps for usefully applying an action research approach and is full of practical tips and examples of real practitioner research projects from a range of schools, colleges and universities.This book will help teachers to:- understand and apply practitioner inquiry- enhance their problem-solving skills- locate their own activity in a wider context- maximise opportunities to develop practice- evaluate the needs of their learnersClear, pragmatic and timely, this is a must-have text for all teachers and students of education. Vivienne Baumfield is Professor of Pedagogy, Policy and Innovation in the School of Education, University of GlasgowElaine Hall is Lecturer in Research Methods, School of Education, Communication and Language Sciences, Newcastle UniversityKate Wall is Senior Lecturer in the School of Education, Durham University

    Price: 39.99 £ | Shipping*: 0.00 £
  • The Text-Critical Use of the Septuagint in Biblical Research
    The Text-Critical Use of the Septuagint in Biblical Research

    This handbook provides a practical guide for the student and scholar alike who wishes to use the Septuagint (LXX) in the text-critical analysis of the Hebrew Bible.It does not serve as another theoretical introduction to the LXX, but it provides all the practical background information needed for the integration of the LXX in biblical studies.The LXX, together with the Masoretic Text and several Qumran scrolls, remains the most significant source of information for the study of ancient Scripture, but it is written in Greek, and many technical details need to be taken into consideration when using this tool.Therefore, a practical handbook such as this is needed for the integration of the Greek translation in the study of the Hebrew Bible. The Text-Critical Use of the Septuagint in Biblical Research is based on much background information, intuition and experience, clear thinking, and a solid description of the procedures followed.The author presents his handbook after half a century of study of the Septuagint, four decades of specialized teaching experience, and involvement in several research projects focusing on the relation between the Hebrew and Greek Bibles. The first two editions of this handbook, published by Simor of Jerusalem (Jerusalem Biblical Studies 3 [1981] and 8 [1997]), received much praise but have been out of print for a considerable period.This, the third, edition presents a completely revised version of the previous editions based on the many developments that took place in the analysis of the Septuagint, the Hebrew Bible and the Qumran Scrolls.Much new information has also been added. Eisenbrauns has been involved in the marketing of the previous two editions and is proud to offer now its own completely novel edition.A must for students of the Hebrew Bible, textual criticism, the Septuagint and the other ancient translations, Dead Sea Scrolls, and Jewish Hellenism.

    Price: 44.95 £ | Shipping*: 0.00 £
  • AIA 6 Information Processing : Study Text
    AIA 6 Information Processing : Study Text

    BPP Learning Media is the AIA s official publisher and our Study Texts are endorsed by AIA examiners.

    Price: 30.00 £ | Shipping*: 0.00 £
  • FIA Management Information MA1 : Interactive Text
    FIA Management Information MA1 : Interactive Text

    Foundations in Accountancy (FIA) awards are entry-level, core-skill focused qualifications from ACCA. They provide flexible options for students and employers, and as an ACCA Approved Content Provider, BPP Learning Media s suite of study tools will provide you with all the accurate and up-to-date material you need for exam success.

    Price: 25.00 £ | Shipping*: 3.99 £
  • Can you please do an information text analysis in German?

    Ja, ich kann eine Informations-Textanalyse auf Deutsch durchführen. Eine Textanalyse beinhaltet das Untersuchen eines Textes auf verschiedene Elemente wie Struktur, Sprache, Argumentation und Stil. Durch die Analyse können wir die Absichten des Autors, die Botschaft des Textes und die verwendeten rhetorischen Mittel besser verstehen. Gerne unterstütze ich Sie bei der Analyse eines deutschen Textes Ihrer Wahl.

  • What is the line reference in the summary of a narrative text?

    The line reference in the summary of a narrative text is the specific line or lines from the original text that are being summarized. It helps the reader locate the exact part of the text that the summary is referring to. By including line references, the summary provides a clear connection between the summary and the original text, allowing readers to easily verify the accuracy of the summary.

  • Should the research paper be written in bullet points or in a text?

    The research paper should be written in text rather than bullet points. Bullet points are typically used for presenting concise information or lists, while a research paper requires a more in-depth and coherent discussion of the topic. Writing in text allows for the development of ideas, analysis, and the presentation of evidence in a clear and organized manner. Additionally, using text allows for the inclusion of proper citations and references, which are essential in academic writing.

  • How do text analysis and text criticism merge in a text-based discussion?

    Text analysis involves examining the content and structure of a text to understand its meaning and implications, while text criticism involves evaluating the quality and authenticity of a text. In a text-based discussion, these two approaches merge by first analyzing the text to uncover its themes, symbols, and messages, and then critiquing its accuracy, coherence, and effectiveness. By combining text analysis and text criticism, participants in a discussion can gain a deeper understanding of the text's significance and engage in a more nuanced dialogue about its strengths and weaknesses.

* All prices are inclusive of VAT and, if applicable, plus shipping costs. The offer information is based on the details provided by the respective shop and is updated through automated processes. Real-time updates do not occur, so deviations can occur in individual cases.