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Are you a girl or young woman aged 13-18? If so, this book is for you! Amanda Stent and Philip Lewis have written a gentle, friendly and comprehensive introduction to computer science. Each chapter covers one area of computer science and includes: examples of how the computer science works; sidebars that contain historical notes or ideas for you to explore; and biographies of women in computer science. The last chapter covers questions that you might have about becoming a computer scientist. We hope that after reading this book you will want to join us in studying this uniquely beautiful and practical subject.
This volume covers key topics in the field from a variety of leading researchers. In one volume, readers gain exposure to several perspectives in the areas of corpus annotation and analysis, dialogue system construction, theoretical perspectives on communicative intention, context-based generation, and modeling of discourse structure. Based on the 2nd SIGdial workshop on Discourse and Dialogue held in conjunction with Eurospeech 2001, it is of interest to researchers and practitioners in dialogue and discourse processing.
Leveraging the research efforts of more than sixty experts in the area, this book reviews cutting-edge practices in machine learning for financial markets. Instead of seeing machine learning as a new field, the authors explore the connection between knowledge developed by quantitative finance over the past forty years and techniques generated by the current revolution driven by data sciences and artificial intelligence. The text is structured around three main areas: 'Interactions with investors and asset owners,' which covers robo-advisors and price formation; 'Risk intermediation,' which discusses derivative hedging, portfolio construction, and machine learning for dynamic optimization; and 'Connections with the real economy,' which explores nowcasting, alternative data, and ethics of algorithms. Accessible to a wide audience, this invaluable resource will allow practitioners to include machine learning driven techniques in their day-to-day quantitative practices, while students will build intuition and come to appreciate the technical tools and motivation for the theory.
This book provides a detailed overview of research on mutual intelligibility between closely related languages. The book is organized around three sections which explore different facets of mutual intelligibility research. The first section outlines how to measure levels of intelligibility and its linguistic and extra-linguistic determinants. The second part grapples with questions and issues which arise once the measuring tools are established. A final section reflects on the practical and theoretical value of studying mutual intelligibility, including issues related to language planning and policy, such as cultural, communicative, educational, and economical matters.
This book constitutes the refereed proceedings of the 10th International Conference on Intelligent Data Analysis, IDA 2011, held in Porto, Portugal, in October 2011. The 19 revised full papers and 16 revised poster papers resented together with 3 invited papers were carefully reviewed and selected from 73 submissions. All current aspects of intelligent data analysis are addressed, particularly intelligent support for modeling and analyzing complex, dynamical systems. The papers offer intelligent support for understanding evolving scientific and social systems including data collection and acquisition, such as crowd sourcing; data cleaning, semantics and markup; searching for data and assembling datasets from multiple sources; data processing, including workflows, mixed-initiative data analysis, and planning; data and information fusion; incremental, mixed-initiative model development, testing and revision; and visualization and dissemination of results; etc.
Explores the fascinating phenomenon of indirect speech acts, highlighting the situations they are used in, and how they are understood.
The four-volume set LNCS 6946-6949 constitutes the refereed proceedings of the 13th IFIP TC13 International Conference on Human-Computer Interaction, INTERACT 2011, held in Lisbon, Portugal, in September 2011. The 47 papers included in the first volume are organized in topical sections on accessibility, affective HCI, computer-mediated communication, computer-supported cooperative work, evaluation, finding and retrieving, fun/aesthetic design, gestures, and HCI in the classroom.
This book introduces core natural language processing (NLP) technologies to non-experts in an easily accessible way, as a series of building blocks that lead the user to understand key technologies, why they are required, and how to integrate them into Semantic Web applications. Natural language processing and Semantic Web technologies have different, but complementary roles in data management. Combining these two technologies enables structured and unstructured data to merge seamlessly. Semantic Web technologies aim to convert unstructured data to meaningful representations, which benefit enormously from the use of NLP technologies, thereby enabling applications such as connecting text to L...
An engaging and accessible introduction to deep learning perfect for students and professionals In Deep Learning: A Practical Introduction, a team of distinguished researchers delivers a book complete with coverage of the theoretical and practical elements of deep learning. The book includes extensive examples, end-of-chapter exercises, homework, exam material, and a GitHub repository containing code and data for all provided examples. Combining contemporary deep learning theory with state-of-the-art tools, the chapters are structured to maximize accessibility for both beginning and intermediate students. The authors have included coverage of TensorFlow, Keras, and Pytorch. Readers will also...