ISBN 10: 7535980228 ISBN 13: 9787535980229
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Add to basketpaperback. Condition: New. Language:Chinese.Paperback. Pub Date: 2023-04 Pages: 172 Publisher: Guangdong Science and Technology Press In recent years. more and more people have begun to pay attention to artificial intelligence. Artificial intelligence technologies such as pattern recognition. fuzzy retrieval. machine learning. and intelligent driving have made breakthrough progress. Artificial intelligence has also been widely used in life. and popularizing artificial intelligence has become a very important compulsory.
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ISBN 10: 1668486873 ISBN 13: 9781668486870
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ISBN 10: 1668486873 ISBN 13: 9781668486870
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Paperback. Condition: new. Paperback. In the evolving landscape of Web3, the use of advanced machine learning, artificial intelligence, and cybersecurity transforms industries through theoretical exploration and practical application. The integration of advanced machine learning and AI techniques promises enhanced security protocols, predictive analytics, and adaptive defenses against the increasing number of cyber threats. However, these technological improvements also raise questions regarding privacy, transparency, and the ethical implications of AI-driven security measures. Advanced Machine Learning, AI, and Cybersecurity in Web3: Theoretical Knowledge and Practical Application explores theories and applications of improved technological techniques in Web 3.0. It addresses the challenges inherent to decentralization while harnessing the benefits offered by advances, thereby paving the way for a safer and more advanced digital era. Covering topics such as fraud detection, cryptocurrency, and data management, this book is a useful resource for computer engineers, financial institutions, security and IT professionals, business owners, researchers, scientists, and academicians. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Published by Engineering Science Reference, 2024
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ISBN 10: 1668486865 ISBN 13: 9781668486863
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Published by Engineering Science Reference, 2024
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Published by Engineering Science Reference, 2024
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Published by Tsinghua University Press, 2016
ISBN 10: 7302415765 ISBN 13: 9787302415763
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Add to basketpaperback. Condition: New. Language:Chinese.Paperback. Pub Date: 2016-03-01 Publisher: Tsinghua University Press is widely used as data acquisition technology and the continuous development of e-commerce. information is growing at an unprecedented rate growing accumulation. analyze information efficiently in the ocean require large amounts of data has become a common business. engineering and science. Text mining is a branch of data mining. data mining assumes that the data source is a structured set of data compared t.
Published by Tsinghua University Press; 1 edition (November 1. 2011), 2000
ISBN 10: 7302268533 ISBN 13: 9787302268536
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Add to basketpaperback. Condition: New. Paperback. Pub Date: November 2011 Pages: 258 Language: Chinese in Publisher: Tsinghua University Press machine learning is a very important field of research in computer science and artificial intelligence. In recent years. machine learning not only play an active role in many areas of computer science. but also become an important support of interdisciplinary technology. China Computer Federation academic writings Series Knowledge Science Series: Machine Learning and Its Application 2011 in.
Published by Tsinghua University Press, 2021
ISBN 10: 7302590958 ISBN 13: 9787302590958
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Add to basketpaperback. Condition: New. Paperback. Pub Date: 2021-10-01 Pages: 308 Language: Chinese Publisher: Tsinghua University Press Machine Learning and Its Applications (2021)/Knowledge Science SeriesChinese Computer Society Academic Works Series is a part of MLA 2019-2020 Experts introduce monographs on the progress of machine learning in the form of a review. covering the basic theories and methods of supervised learning. deep learning. reinforcement learning. adversarial learning. and Bayesian learning. At the same time. .
ISBN 10: 7302487812 ISBN 13: 9787302487814
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Add to basketpaperback. Condition: New. Language:Chinese.Paperback. Pub Date: 2017-11-01 Pages: 139 Publisher: tsinghua university press the machine learning and application of 2017 (China computer society of academic works series -- knowledge science series) is on the 13th and 14th international conference of machine learning and application of a summary. the seven experts were invited to its research writing. to a.
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Add to basketPAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In the evolving landscape of Web3, the use of advanced machine learning, artificial intelligence, and cybersecurity transforms industries through theoretical exploration and practical application. The integration of advanced machine learning and AI techniques promises enhanced security protocols, predictive analytics, and adaptive defenses against the increasing number of cyber threats. However, these technological improvements also raise questions regarding privacy, transparency, and the ethical implications of AI-driven security measures. Advanced Machine Learning, AI, and Cybersecurity in Web3: Theoretical Knowledge and Practical Application explores theories and applications of improved technological techniques in Web 3.0. It addresses the challenges inherent to decentralization while harnessing the benefits offered by advances, thereby paving the way for a safer and more advanced digital era. Covering topics such as fraud detection, cryptocurrency, and data management, this book is a useful resource for computer engineers, financial institutions, security and IT professionals, business owners, researchers, scientists, and academicians.
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Add to basketBuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In the evolving landscape of Web3, the use of advanced machine learning, artificial intelligence, and cybersecurity transforms industries through theoretical exploration and practical application. The integration of advanced machine learning and AI techniques promises enhanced security protocols, predictive analytics, and adaptive defenses against the increasing number of cyber threats. However, these technological improvements also raise questions regarding privacy, transparency, and the ethical implications of AI-driven security measures. Advanced Machine Learning, AI, and Cybersecurity in Web3: Theoretical Knowledge and Practical Application explores theories and applications of improved technological techniques in Web 3.0. It addresses the challenges inherent to decentralization while harnessing the benefits offered by advances, thereby paving the way for a safer and more advanced digital era. Covering topics such as fraud detection, cryptocurrency, and data management, this book is a useful resource for computer engineers, financial institutions, security and IT professionals, business owners, researchers, scientists, and academicians.