This book investigates the nature of generalization in language and examines how language is known by adults and acquired by children. It looks at how and why constructions are learned, the relation between their forms and functions, and how cross-linguistic and language-internal
generalizations about them can be explained.
Constructions at Work is divided into three parts: in the first Professor Goldberg provides an overview of constructionist approaches, including the constructionist approach to argument structure, and argues for a usage-based model of grammar. In Part II she addresses issues concerning how
generalizations are constrained and constructional generalizations are learned. In Part III the author shows that a combination of function and processing accounts for a wide range of language-internal and cross-linguistic generalizations. She then considers the degree to which the function of
constructions explains their distribution and examines cross-linguistic tendencies in argument realization. She demonstrates that pragmatic and cognitive processes account for the data without appeal to stipulations that are language-specific.
This book is an important contribution to the study of how language operates in the mind and in the world and how these operations relate. It is of central interest for scholars and graduate-level students in all branches of theoretical linguistics and psycholinguistics. It will also appeal to
cognitive scientists and philosophers concerned with language and its acquisition.

In this volume, the authors begin by defining usability, advocating and explaining the methods of usability engineering and reviewing many techniques for assessing and assuring usability throughout the development process. They then follow all the steps in planning and conducting a usability test, analyzing data, and using the results to improve both products and processes.
This book is simply written and filled with examples from many types of products and tests. It discusses the full range of testing options from quick studies with a few subjects to more formal tests with carefully designed controls. The authors discuss the place of usability laboratories in testing as well as the skills needed to conduct a test.
Included are forms to use or modify to conduct a usability test, as well as layouts of existing labs that will help the reader build his or her own.

This book is a study of how scientific computation developed in British universities, the scientific civil service, and the armed services during the period 1900-1950. It describes the emergence of computing laboratories in Britain, along with the machines and personalities involved. British computational work is examined from an organizational perspective and the concept of centralized computing power is discussed. Computing methods used up to the 1950s ranged from the use of mathematical tables, via slide rules and other mathematical instruments, to desk calculating machines, accounting machines, differential analysers, and early computers.

Over the last century, developments in electronic music and art have enabled new possibilities for creating audio and audio-visual artworks. With this new potential has come the possibility for representing subjective internal conscious states, such as the experience of hallucinations, using digital technology. Combined with immersive technologies such as virtual reality goggles and high-quality loudspeakers, the potential for accurate simulations of conscious encounters such as Altered States of Consciousness (ASCs) is rapidly advancing. In Inner Sound, author Jonathan Weinel traverses the creative influence of ASCs, from Amazonian chicha festivals to the synaesthetic assaults of neon raves; and from an immersive outdoor electroacoustic performance on an Athenian hilltop to a mushroom trip on a tropical island in virtual reality. Beginning with a discussion of consciousness, the book explores how our subjective realities may change during states of dream, psychedelic experience, meditation, and trance. Taking a broad view across a wide range of genres, Inner Sound draws connections between shamanic art and music, and the modern technoshamanism of psychedelic rock, electronic dance music, and electroacoustic music. Going beyond the sonic into the visual, the book also examines the role of altered states in film, visual music, VJ performances, interactive video games, and virtual reality applications. Through the analysis of these examples, Weinel uncovers common mechanisms, and ultimately proposes a conceptual model for Altered States of Consciousness Simulations (ASCSs). This theoretical model describes how sound can be used to simulate various subjective states of consciousness from a first-person perspective, in an interactive context. Throughout the book, the ethical issues regarding altered states of consciousness in electronic music and audio-visual media are also examined, ultimately allowing the reader not only to consider the design of ASCSs, but also the implications of their use for digital society.

Mumford explains the forces that have shaped technology since prehistoric times and shaped the modern world. He shows how tools developed because of significant parallel inventions in ritual, language, and social organization. "It is a stimulating volume, informed both with an enormous range of knowledge and empathetic spirit" (Eliot Fremont-Smith, New York Times). Index; photographs.

Hilbert's Programs & Beyond presents the foundational work of David Hilbert in a sequence of thematically organized essays. They first trace the roots of Hilbert's work to the radical transformation of mathematics in the 19th century and bring out his pivotal role in creating mathematical logic and proof theory. They then analyze techniques and results of "classical" proof theory as well as their dramatic expansion in modern proof theory. This intellectual experience finally opens horizons for reflection on the nature of mathematics in the 21st century: Sieg articulates his position of reductive structuralism and explores mathematical capacities via computational models.

CompTIA (R) Data+ DA0-001 Exam Cram is an all-inclusive study guide designed to help you pass the CompTIA Data+ DA0-001 exam. Prepare for test day success with complete coverage of exam objectives and topics, plus hundreds of realistic practice questions. Extensive prep tools include quizzes, Exam Alerts, and our essential last-minute review CramSheet. The powerful Pearson Test Prep practice software provides real-time assessment and feedback with two complete exams. Covers the critical information needed to score higher on your Data+ DA0-001 exam! Understand data concepts, environments, mining, analysis, visualization, governance, quality, and controls Work with databases, data warehouses, database schemas, dimensions, data types, structures, and file formats Acquire data and understand how it can be monetized Clean and profile data so it;s more accurate, consistent, and useful Review essential techniques for manipulating and querying data Explore essential tools and techniques of modern data analytics Understand both descriptive and inferential statistical methods Get started with data visualization, reporting, and dashboards Leverage charts, graphs, and reports for data-driven decision-making Learn important data governance concepts

With Computational Thinking in Sound, veteran educators Gena R. Greher and Jesse M. Heines provide the first book ever written for music fundamentals educators which is devoted specifically to music, sound, and technology. The authors demonstrate how the range of mental tools in computer science - for example, analytical thought, system design, and problem design and solution - can be fruitfully applied to music education, including examples of successful student work. While technology instruction in music education has traditionally focused on teaching how computers and software work to produce music, Greher and Heines offer context: a clear understanding of how music technology can be structured around a set of learning challenges and tasks of the type common in computer science classrooms. Using a learner-centered approach that emphasizes project-based experiences, the book provides music educators with multiple strategies to explore, create, and solve problems with music and technology in equal parts. It also provides examples of hands-on activities which encourage students, alone and in interdisciplinary groups, to explore the basic principles that underlie today's music technology and which expose them to current multimedia development tools.

Learn how to create, train, and tweak large language models (LLMs) by building one from the ground up!

In Build a Large Language Model (from Scratch) bestselling author Sebastian Raschka guides you step by step through creating your own LLM. Each stage is explained with clear text, diagrams, and examples. You’ll go from the initial design and creation, to pretraining on a general corpus, and on to fine-tuning for specific tasks.

Build a Large Language Model (from Scratch) teaches you how to:

• Plan and code all the parts of an LLM
• Prepare a dataset suitable for LLM training
• Fine-tune LLMs for text classification and with your own data
• Use human feedback to ensure your LLM follows instructions
• Load pretrained weights into an LLM

Build a Large Language Model (from Scratch) takes you inside the AI black box to tinker with the internal systems that power generative AI. As you work through each key stage of LLM creation, you’ll develop an in-depth understanding of how LLMs work, their limitations, and their customization methods. Your LLM can be developed on an ordinary laptop, and used as your own personal assistant.

Louth Rediscovered is a photography book with the most concise collection of Louth heritage sites. County Louth is known for being the smallest county in Ireland, but did you know that it also has the largest number of heritage sites per capita outside of Dublin? Join landscape photographer Mark Duffy on a journey of rediscovery and explore some of the best locations to visit in County Louth. See Louth like you've never done before, through the eyes of a landscape photographer. Mark visits everything from stunning vistas across the Cooley Mountains to church ruins, castle ruins and even some living castles. Whether you're from Louth or looking for somewhere new to visit, Louth Rediscovered will guide you to the best locations but also show you some of the best times to visit these stunning places. Take a journey of rediscovery and Rediscover Louth.

If you want to make it beyond Instagram as a photographer you have to give a solid listen to the ideas, tips and overall mindset that Finn shares in this workshop. @alexstrohl Don't just take a picture, make photos that move people. Storytelling is a gift to photographers, letting you weave together characters, events, locations and subjects into a work of beauty greater than the sum of its parts. There are as many stories to tell as pictures to take, but there are also tried-and-tested methods you can adopt to help improve your photography and streamline your workflow. In this beginner-to-pro workshop, award-winning photographer and influencer Finn Beales teaches enthusiasts and aspiring professionals how to master every element of the photographer's process. By following his five-step course - Pitch, Prepare, Shoot, Edit and Deliver - you will develop the same successful, reliable working methods that earn influence and delight audiences, regardless of what genre you're working in. Create intrigue, pull in your audience and tell richer, more rounded stories using your DSLR camera. Want to craft a shoot from start to finish? All the essentials are covered, from building a story into your creative, shoot preparation, the necessary gear and props, working with mood-boards and call sheets, compositional balance, and directing models, right through to post production, editing and file delivery. Discover within: What equipment you'll need, when and why; The secret to key shots and essential techniques; Plot devices to help you craft your narrative; Step-by-step DSLR projects to perfect your skills; Effortlessly capture events, landscapes, portraits, interiors and experiences; How to edit better and be different; Extra exercises to improve your smartphone photography. Compose for impact. Stand out through story.

Recent breakthroughs in AI have not only increased demand for AI products, they've also lowered the barriers to entry for those who want to build AI products. The model-as-a-service approach has transformed AI from an esoteric discipline into a powerful development tool that anyone can use. Everyone, including those with minimal or no prior AI experience, can now leverage AI models to build applications. In this book, author Chip Huyen discusses AI engineering: the process of building applications with readily available foundation models.

The book starts with an overview of AI engineering, explaining how it differs from traditional ML engineering and discussing the new AI stack. The more AI is used, the more opportunities there are for catastrophic failures, and therefore, the more important evaluation becomes. This book discusses different approaches to evaluating open-ended models, including the rapidly growing AI-as-a-judge approach.

AI application developers will discover how to navigate the AI landscape, including models, datasets, evaluation benchmarks, and the seemingly infinite number of use cases and application patterns. You'll learn a framework for developing an AI application, starting with simple techniques and progressing toward more sophisticated methods, and discover how to efficiently deploy these applications.

Features:

• Understand what AI engineering is and how it differs from traditional machine learning engineering
• Learn the process for developing an AI application, the challenges at each step, and approaches to address them
• Explore various model adaptation techniques, including prompt engineering, RAG, fine-tuning, agents, and dataset engineering, and understand how and why they work
• Examine the bottlenecks for latency and cost when serving foundation models and learn how to overcome them
• Choose the right model, dataset, evaluation benchmarks, and metrics for your needs

Chip Huyen works to accelerate data analytics on GPUs at Voltron Data. Previously, she was with Snorkel AI and NVIDIA, founded an AI infrastructure startup, and taught Machine Learning Systems Design at Stanford. She's the author of the book Designing Machine Learning Systems, an Amazon bestseller in AI.

There is now a plethora of internet of things (IoT) devices on the market that can connect to the internet and the desired environment to produce sufficient and reliable data that is required by the government administration for a variety of purposes. Additionally, the potential benefits of incorporating artificial intelligence (AI) and machine learning into governance are numerous. Governments can use AI and machine learning to enforce the law, detect fraud, and monitor urban areas by identifying problems before they occur. The government can also use AI to easily automate processes and replace mundane and repetitive tasks. AI, IoT, and Blockchain Breakthroughs in E-Governance defines and emphasizes various AI algorithms as well as new internet of things and blockchain breakthroughs in the field of e-governance. Covering key topics such as machine learning, government, and artificial intelligence, this premier reference source is ideal for government officials, policymakers, researchers, academicians, practitioners, scholars, instructors, and students.

You ve just purchased a TI-83 Plus calculator to assist in performing different types of mathematical equations now, how can you get the most out of it? You ll find the answer to this question with our comprehensive, 3-panel guide that shows in great detail what exactly the TI-83 Plus can do. Function key and mode descriptions, as well as problem-solving examples, are included within a color-coded format for easy reference.

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Stochastic processes have a wide range of applications ranging from image processing, neuroscience, bioinformatics, financial management, and statistics. Mathematical, physical, and engineering systems use stochastic processes for modeling and reasoning phenomena. While comparing AI-stochastic systems with other counterpart systems, we are able to understand their significance, thereby applying new techniques to obtain new real-time results and solutions. Stochastic Processes and Their Applications in Artificial Intelligence opens doors for artificial intelligence experts to use stochastic processes as an effective tool in real-world problems in computational biology, speech recognition, natural language processing, and reinforcement learning. Covering key topics such as social media, big data, and artificial intelligence models, this reference work is ideal for mathematicians, industry professionals, researchers, scholars, academicians, practitioners, instructors, and students.

Autonomous Mobile Robots: Planning, Navigation, and Simulation presents detailed coverage of the domain of robotics in motion planning and associated topics in navigation. This book covers numerous base planning methods from diverse schools of learning, including deliberative planning methods, reactive planning methods, task planning methods, fusion of different methods, and cognitive architectures. It is a good resource for doing initial project work in robotics, providing an overview, methods and simulation software in one resource. For more advanced readers, it presents a variety of planning algorithms to choose from, presenting the tradeoffs between the algorithms to ascertain a good choice. Finally, the book presents fusion mechanisms to design hybrid algorithms.

Provides comprehensive coverage of theory and hands-on implementation of computer vision-based sensors for structural health monitoring This book is the first to fill the gap between scientific research of computer vision and its practical applications for structural health monitoring (SHM). It provides a complete, state-of-the-art review of the collective experience that the SHM community has gained in recent years. It also extensively explores the potentials of the vision sensor as a fast and cost-effective tool for solving SHM problems based on both time and frequency domain analytics, broadening the application of emerging computer vision sensor technology in not only scientific research but also engineering practice. Computer Vision for Structural Dynamics and Health Monitoring presents fundamental knowledge, important issues, and practical techniques critical to successful development of vision-based sensors in detail, including robustness of template matching techniques for tracking targets; coordinate conversion methods for determining calibration factors to convert image pixel displacements to physical displacements; sensing by tracking artificial targets vs. natural targets; measurements in real time vs. by post-processing; and field measurement error sources and mitigation methods. The book also features a wide range of tests conducted in both controlled laboratory and complex field environments in order to evaluate the sensor accuracy and demonstrate the unique features and merits of computer vision-based structural displacement measurement. Offers comprehensive understanding of the principles and applications of computer vision for structural dynamics and health monitoring Helps broaden the application of the emerging computer vision sensor technology from scientific research to engineering practice such as field condition assessment of civil engineering structures and infrastructure systems Includes a wide range of laboratory and field testing examples, as well as practical techniques for field application Provides MATLAB code for most of the issues discussed including that of image processing, structural dynamics, and SHM applications Computer Vision for Structural Dynamics and Health Monitoring is ideal for graduate students, researchers, and practicing engineers who are interested in learning about this emerging sensor technology and advancing their applications in SHM and other engineering problems. It will also benefit those in civil and aerospace engineering, energy, and computer science.

The advancement in FinTech especially artificial intelligence (AI) and machine learning (ML), has significantly affected the way financial services are offered and adopted today. Important financial decisions such as investment decision making, macroeconomic analysis, and credit evaluation are getting more complex in the field of finance. ML is used in many financial companies which are making a significant impact on financial services. With the increasing complexity of financial transaction processes, ML can reduce operational costs through process automation which can automate repetitive tasks and increase productivity. Among others, ML can analyze large volumes of historical data and make better trading decisions to increase revenue. This book provides an exhaustive overview of the roles of AI and ML algorithms in financial sectors with special reference to complex financial applications such as financial risk management in a big data environment. In addition, it provides a collection of high-quality research works that address broad challenges in both theoretical and application aspects of AI in the field of finance.