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This book offers a brief but effective introduction to quantum machine learning (QML). QML is not merely a translation of classical machine learning techniques into the language of quantum computing, but rather a new approach to data representation and processing. Accordingly, the content is not divided into a "classical part" that describes standard machine learning schemes and a "quantum part" that addresses their quantum counterparts. Instead, to immerse the reader in the quantum realm from the outset, the book starts from fundamental notions of quantum mechanics and quantum computing. Avoiding unnecessary details, it presents the concepts and mathematical tools that are essential for the required quantum formalism. In turn, it reviews those quantum algorithms most relevant to machine learning. Later chapters highlight the latest advances in this field and discuss the most promising directions for future research. To gain the most from this book, a basic grasp of statistics and linear algebra is sufficient; no previous experience with quantum computing or machine learning is needed. The book is aimed at researchers and students with no background in quantum physics and is also suitable for physicists looking to enter the field of QML.

Programming --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- quantumcomputers --- programmeren (informatica) --- KI (kunstmatige intelligentie) --- Machine learning. --- Quantum computing.

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The First Line of Code is a must-have for developers who want to learn Android and Kotlin, and the best-seller in China. Knowledge between Android and Kotlin is interspersed in a way that readers are easy to understand and get start: · Android part covers all the important aspects of the Android platform, such as activity, service, content provider, broadcast receiver, fragment, basic UI, data storage, network, Jetpack and other application-level knowledge. · Kotlin part covers various aspects of Kotlin, such as standard grammar, common skills, higher-order functions, generics, coroutines, DSL and other language-level knowledge. In addition, The First Line of Code is a very practicing book, illustrating concepts with a complete weather forecast program. You can use and practice all the knowledge comprehensively after learning and see the actual result for what you have learned through the book. All contents of the book are quite easy to understand. It might be a good choice for both beginners and experienced developers. Also suitable for college students, college teachers, etc.

Programming --- Computer architecture. Operating systems --- Computer. Automation --- GSM (global system for mobile communications) --- Open Source --- computers --- programmeren (informatica) --- programmeertalen --- OS (operating system) --- Computer programming. --- Android (Electronic resource)

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This book comprehensively introduces data deduplication technologies for storage systems. It first presents the overview of data deduplication including its theoretical basis, basic workflow, application scenarios and its key technologies, and then the book focuses on each key technology of the deduplication to provide an insight into the evolution of the technology over the years including chunking algorithms, indexing schemes, fragmentation reduced schemes, rewriting algorithm and security solution. In particular, the state-of-the-art solutions and the newly proposed solutions are both elaborated. At the end of the book, the author discusses the fundamental trade-offs in each of deduplication design choices and propose an open-source deduplication prototype. The book with its fundamental theories and complete survey can guide the beginners, students and practitioners working on data deduplication in storage system. It also provides a compact reference in the perspective of key data deduplication technologies for those researchers in developing high performance storage solutions.

Information retrieval --- Programming --- Computer architecture. Operating systems --- Information systems --- Computer. Automation --- gegevensopslag --- I/O (input/output) --- randapparatuur --- informatica --- computerbesturingssystemen --- datacommunicatie --- programmeren (informatica) --- informatiesystemen --- gegevensanalyse --- Database management.

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Text-to-speech (TTS) aims to synthesize intelligible and natural speech based on the given text. It is a hot topic in language, speech, and machine learning research and has broad applications in industry. This book introduces neural network-based TTS in the era of deep learning, aiming to provide a good understanding of neural TTS, current research and applications, and the future research trend. This book first introduces the history of TTS technologies and overviews neural TTS, and provides preliminary knowledge on language and speech processing, neural networks and deep learning, and deep generative models. It then introduces neural TTS from the perspective of key components (text analyses, acoustic models, vocoders, and end-to-end models) and advanced topics (expressive and controllable, robust, model-efficient, and data-efficient TTS). It also points some future research directions and collects some resources related to TTS. This book is the first to introduce neural TTS in a comprehensive and easy-to-understand way and can serve both academic researchers and industry practitioners working on TTS.

Electronics --- Engineering sciences. Technology --- Programming --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- digitale signaalverwerking --- NLP (neurolinguïstisch programmeren) --- spraaktechnologie --- signal processing --- programmeren (informatica) --- KI (kunstmatige intelligentie) --- signaalprocessoren --- signaalverwerking --- Natural language processing (Computer science). --- Speech processing systems. --- Signal processing. --- Machine learning. --- Artificial intelligence. --- Natural Language Processing (NLP). --- Speech and Audio Processing. --- Machine Learning. --- Artificial Intelligence. --- Artificial Intelligence --- Computer Sound Processing --- Technology & Engineering --- Computers --- AI (artificiële intelligentie)

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This book shows ways of augmenting the capabilities of Natural Language Processing (NLP) systems by means of cognitive-mode language processing. The authors employ eye-tracking technology to record and analyze shallow cognitive information in the form of gaze patterns of readers/annotators who perform language processing tasks. The insights gained from such measures are subsequently translated into systems that help us (1) assess the actual cognitive load in text annotation, with resulting increase in human text-annotation efficiency, and (2) extract cognitive features that, when added to traditional features, can improve the accuracy of text classifiers. In sum, the authors’ work successfully demonstrates that cognitive information gleaned from human eye-movement data can benefit modern NLP. Currently available Natural Language Processing (NLP) systems are weak AI systems: they seek to capture the functionality of human language processing, without worrying about how this processing is realized in human beings’ hardware. In other words, these systems are oblivious to the actual cognitive processes involved in human language processing. This ignorance, however, is NOT bliss! The accuracy figures of all non-toy NLP systems saturate beyond a certain point, making it abundantly clear that “something different should be done.”.

Computer architecture. Operating systems --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- Psycholinguistics --- Mathematical linguistics --- NLP (neurolinguïstisch programmeren) --- spraaktechnologie --- psycholinguïstiek --- KI (kunstmatige intelligentie) --- Natural language processing (Computer science). --- Artificial intelligence. --- Computational linguistics. --- Psycholinguistics. --- Natural Language Processing (NLP). --- Artificial Intelligence. --- Computational Linguistics.