Welcome to our book review site go-pdf.online!
You may have to Search all our reviewed books and magazines, click the sign up button below to create a free account.
Argumentation in Higher Education
Argumentation in Higher Education offers professors, lecturers and researchers informative guidance for teaching effective argumentation skills to their undergraduate and graduate students. This professional guide aims to make the complex topic of argumentation open and transparent. Grounded in empirical research and theory, but with student voices heard strongly throughout, this book fills the gap of argumentation instruction for the undergraduate and graduate level. Written to enlighten even the most experienced professor, this text contributes to a better understanding of the demands of speaking, writing, and visual argumentation in higher education, and will undoubtedly inform and enhanc...
Graduate Students at Work
Graduate Students at Work highlights the expertise and experiences of graduate students to demonstrate what graduate study entails, what it makes possible, and what it constrains in the context of corporatizing higher education. This collection of full-length research articles and short personal essays illustrates graduate students’ experiences, organizing tactics, and strategies for staying in or moving out of the academy. Speaking from personal experience as well as reporting research findings, the contributors of Graduate Students at Work illustrate the significant expertise that graduate students are asked to enact in their time-intensive jobs as teachers, researchers, and administrato...
University Writing: Selves and Texts in Academic Societies
University Writing: Selves and Texts in Academic Societies examines new trends in the different theoretical perspectives (cognitive, social and cultural) and derived practices in the activity of writing in higher education. These perspectives are analyzed on the basis of their conceptualization of the object - academic and scientific writing; of the writers - their identities, attitudes and perspectives, be it students, teachers or researchers; and of the derived instructional practices - the ways in which the teaching-learning situations may be organized. The volume samples writing research traditions and perspectives both in Europe and the United States, working on their situated nature and avoiding easy or superficial comparisons in order to enlarge our understanding of common problems and some emerging possibilities.
Natural Language Processing in the Real World
Natural Language Processing in the Real World is a practical guide for applying data science and machine learning to build Natural Language Processing (NLP) solutions. Where traditional, academic-taught NLP is often accompanied by a data source or dataset to aid solution building, this book is situated in the real world where there may not be an existing rich dataset. This book covers the basic concepts behind NLP and text processing and discusses the applications across 15 industry verticals. From data sources and extraction to transformation and modelling, and classic Machine Learning to Deep Learning and Transformers, several popular applications of NLP are discussed and implemented. This book provides a hands-on and holistic guide for anyone looking to build NLP solutions, from students of Computer Science to those involved in large-scale industrial projects.
Data Analytics with Hadoop
Ready to use statistical and machine-learning techniques across large data sets? This practical guide shows you why the Hadoop ecosystem is perfect for the job. Instead of deployment, operations, or software development usually associated with distributed computing, you’ll focus on particular analyses you can build, the data warehousing techniques that Hadoop provides, and higher order data workflows this framework can produce. Data scientists and analysts will learn how to perform a wide range of techniques, from writing MapReduce and Spark applications with Python to using advanced modeling and data management with Spark MLlib, Hive, and HBase. You’ll also learn about the analytical pr...
Blueprints for Text Analytics Using Python
Turning text into valuable information is essential for businesses looking to gain a competitive advantage. With recent improvements in natural language processing (NLP), users now have many options for solving complex challenges. But it's not always clear which NLP tools or libraries would work for a business's needs, or which techniques you should use and in what order. This practical book provides data scientists and developers with blueprints for best practice solutions to common tasks in text analytics and natural language processing. Authors Jens Albrecht, Sidharth Ramachandran, and Christian Winkler provide real-world case studies and detailed code examples in Python to help you get started quickly. Extract data from APIs and web pages Prepare textual data for statistical analysis and machine learning Use machine learning for classification, topic modeling, and summarization Explain AI models and classification results Explore and visualize semantic similarities with word embeddings Identify customer sentiment in product reviews Create a knowledge graph based on named entities and their relations
Scaling Machine Learning with Spark
Learn how to build end-to-end scalable machine learning solutions with Apache Spark. With this practical guide, author Adi Polak introduces data and ML practitioners to creative solutions that supersede today's traditional methods. You'll learn a more holistic approach that takes you beyond specific requirements and organizational goals--allowing data and ML practitioners to collaborate and understand each other better. Scaling Machine Learning with Spark examines several technologies for building end-to-end distributed ML workflows based on the Apache Spark ecosystem with Spark MLlib, MLflow, TensorFlow, and PyTorch. If you're a data scientist who works with machine learning, this book show...
Applied Text Analysis with Python
From news and speeches to informal chatter on social media, natural language is one of the richest and most underutilized sources of data. Not only does it come in a constant stream, always changing and adapting in context; it also contains information that is not conveyed by traditional data sources. The key to unlocking natural language is through the creative application of text analytics. This practical book presents a data scientist’s approach to building language-aware products with applied machine learning. You’ll learn robust, repeatable, and scalable techniques for text analysis with Python, including contextual and linguistic feature engineering, vectorization, classification, ...
Investigating English in Europe
This book is an invaluable resource for anyone interested in researching or just learning more about the changing role and status of English across Europe. The status of English today is explained in its historical context before the authors present some of the key debates and ideas relating to the challenge English poses for learners, teachers, and language policy makers.
Genre and the Performance of Publics
In recent decades, genre studies has focused attention on how genres mediate social activities within workplace and academic settings. Genre and the Performance of Publics moves beyond institutional settings to explore public contexts that are less hierarchical, broadening the theory of how genres contribute to the interconnected and dynamic performances of public life. Chapters examine how genres develop within publics and how genres tend to mediate performances in public domains, setting up a discussion between public sphere scholarship and rhetorical genre studies. The volume extends the understanding of genres as not only social ways of organizing texts or mediating relationships within institutions but as dynamic performances themselves. By exploring how genres shape the formation of publics, Genre and the Performance of Publicsbrings rhetoric/composition and public sphere studies into dialogue and enhances the understanding of public genre performances in ways that contribute to research on and teaching of public discourse.
