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This collected volume explores a novel approach to the intersection of artificial intelligence and the humanities, proposing that instead of merely writing about AI, scholars should think with AI. Rather than treating AI as an external subject of study, the essays explore how concepts from artificial intelligence, machine learning, and data science can provide ways to rethink core humanistic qu…
Koleksi Perpustakaan
The reprint focuses on the latest research in cybersecurity and data science. Digital transformation turns data into the new oil, so the increasing availability of big data, structured and unstructured datasets, raises new challenges in cybersecurity, efficient data processing and knowledge extraction. The field of cybersecurity and data science fuels the data-driven economy. Innovations in thi…
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This open access book explores machine learning and its impact on how we make sense of the world. It does so by bringing together two ‘revolutions’ in a surprising analogy: the revolution of machine learning, which has placed computing on the path to artificial intelligence, and the revolution in thinking about the law that was spurred by Oliver Wendell Holmes Jr in the last two decades of …
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This reprint focuses on research and practice concerning assessment and evaluation in higher education, crucial processes for the advancement of higher education. The different dimensions and forms of assessment within higher education, the impact of assessment methods on students? learning processes and approaches to learning are of particular interest. Special attention is given to assessment…
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As increasingly sophisticated and evasive malware attacks continue to emerge, more effective detection solutions to tackle the problem are being sought through the application of advanced machine learning techniques. This reprint presents several advances in the field including: a new method of generating adversarial samples through byte sequence feature extraction using deep learning; a state-…
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This open access book provides an overview of the recent advances in representation learning theory, algorithms and applications for natural language processing (NLP). It is divided into three parts. Part I presents the representation learning techniques for multiple language entries, including words, phrases, sentences and documents. Part II then introduces the representation techniques for th…
Koleksi Perpustakaan
This reprint highlights the importance of Deep Learning (DL), which has garnered significant attention in science, industry, and academia. It draws inspiration from the functioning of the human brain and the concept of learning. Unlike traditional and machine learning methods, deep learning techniques emulate the human brain's neural networks at a lower scale, allowing them to process and analy…