machine learning theoretical foundations (24 Ergebnisse)

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Taschenbuch. Zustand: Neu. Neuware -This edited book is a collection of chapters invited and presented by experts at 10th industry symposium held during 9¿12 January 2020 in conjunction with 16th edition of ICDCIT. The book covers topics, like machine learning and its applications, statistical learning, neural network learning, knowledge acquisition and learning, knowledge intensive learning, machine learning and information retrieval, machine learning for web navigation and mining, learning through mobile data mining, text and multimedia mining through machine learning, distributed and parallel learning algorithms and applications, feature extraction and classification, theories and models for plausible reasoning, computational learning theory, cognitive modelling and hybrid learning algorithms.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 184 pp. Englisch.

Buch. Zustand: Neu. Neuware -This edited book is a collection of chapters invited and presented by experts at 10th industry symposium held during 9¿12 January 2020 in conjunction with 16th edition of ICDCIT. The book covers topics, like machine learning and its applications, statistical learning, neural network learning, knowledge acquisition and learning, knowledge intensive learning, machine learning and information retrieval, machine learning for web navigation and mining, learning through mobile data mining, text and multimedia mining through machine learning, distributed and parallel learning algorithms and applications, feature extraction and classification, theories and models for plausible reasoning, computational learning theory, cognitive modelling and hybrid learning algorithms.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 184 pp. Englisch.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This edited book is a collection of chapters invited and presented by experts at 10th industry symposium held during 9-12 January 2020 in conjunction with 16th edition of ICDCIT. The book covers topics, like machine learning and its applications, statistical learning, neural network learning, knowledge acquisition and learning, knowledge intensive learning, machine learning and information retrieval, machine learning for web navigation and mining, learning through mobile data mining, text and multimedia mining through machine learning, distributed and parallel learning algorithms and applications, feature extraction and classification, theories and models for plausible reasoning, computational learning theory, cognitive modelling and hybrid learning algorithms.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This edited book is a collection of chapters invited and presented by experts at 10th industry symposium held during 9-12 January 2020 in conjunction with 16th edition of ICDCIT. The book covers topics, like machine learning and its applications, statistical learning, neural network learning, knowledge acquisition and learning, knowledge intensive learning, machine learning and information retrieval, machine learning for web navigation and mining, learning through mobile data mining, text and multimedia mining through machine learning, distributed and parallel learning algorithms and applications, feature extraction and classification, theories and models for plausible reasoning, computational learning theory, cognitive modelling and hybrid learning algorithms.

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Zustand: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.

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Hardcover. Zustand: Brand New. 183 pages. 9.25x6.10x0.59 inches. In Stock.

Softcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. Quantum Machine Learning - From Theoretical Foundations to Practical Applications explores the intersection of quantum computing and machine learning algorithms. This book discusses quantum algorithms that can potentially outperform classical counterparts in data processing and pattern recognition. It covers foundational principles, quantum data encoding, and real-world applications in optimization, cryptography, and artificial intelligence. The narrative emphasizes the transformative potential of quantum machine learning to revolutionize computational capabilities across various domains. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. This book presents a comprehensive analysis of the theoretical foundations of machine learning. By examining the intersection of machine learning, mathematics, and computer science, it highlights the potential of machine learning to address some of the world's most pressing challenges. The author argues that machine learning can be a powerful tool for promoting innovation, reducing inequality, and improving living standards. Through a series of case studies and real-world examples, the book demonstrates the effectiveness of machine learning in promoting innovation, from image recognition to natural language processing. By shedding light on the critical role of machine learning in driving innovation, this book offers a compelling vision for a more equitable and prosperous future. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. Quantum Machine Learning - From Theoretical Foundations to Practical Applications presents a cutting-edge approach to developing quantum machine learning frameworks for real-world applications. By employing a range of quantum machine learning techniques, this book demonstrates how to design and deploy novel quantum machine learning systems that can tackle complex problems in fields such as image recognition, natural language processing, and predictive analytics. Through a combination of theoretical foundations and practical applications, the book examines the complex relationships between quantum machine learning, theoretical foundations, and practical applications. By providing a framework for quantum machine learning, Quantum Machine Learning - From Theoretical Foundations to Practical Applications empowers readers to develop innovative solutions for tackling complex problems in a wide range of fields. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This edited book is a collection of chapters invited and presented by experts at 10th industry symposium held during 9-12 January 2020 in conjunction with 16th edition of ICDCIT. The book covers topics, like machine learning and its applications, statist.

Gebunden. Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Discusses applications of machine learning&nbspPresents chapters invited and written by experts at 10th industry symposium in Bhubaneswar, IndiaServes as a reference resource for researchers and practitioners in academia and industr.

Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This edited book is a collection of chapters invited and presented by experts at 10th industry symposium held during 9-12 January 2020 in conjunction with 16th edition of ICDCIT. The book covers topics, like machine learning and its applications, statistical learning, neural network learning, knowledge acquisition and learning, knowledge intensive learning, machine learning and information retrieval, machine learning for web navigation and mining, learning through mobile data mining, text and multimedia mining through machine learning, distributed and parallel learning algorithms and applications, feature extraction and classification, theories and models for plausible reasoning, computational learning theory, cognitive modelling and hybrid learning algorithms. 184 pp. Englisch.

Buch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This edited book is a collection of chapters invited and presented by experts at 10th industry symposium held during 9-12 January 2020 in conjunction with 16th edition of ICDCIT. The book covers topics, like machine learning and its applications, statistical learning, neural network learning, knowledge acquisition and learning, knowledge intensive learning, machine learning and information retrieval, machine learning for web navigation and mining, learning through mobile data mining, text and multimedia mining through machine learning, distributed and parallel learning algorithms and applications, feature extraction and classification, theories and models for plausible reasoning, computational learning theory, cognitive modelling and hybrid learning algorithms. 184 pp. Englisch.

Zustand: New. Print on Demand.

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