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Quantum Machine Learning: What Quantum Computing Means to Data Mining

Peter Wittek
4.9/5 (18584 ratings)
Description:"Quantum Machine Learning" bridges the gap between abstract developments in quantum computing and the applied research on machine learning. Paring down the complexity of the disciplines involved, it focuses on providing a synthesis that explains the most important machine learning algorithms in a quantum framework. Theoretical advances in quantum computing are hard to follow for computer scientists, and sometimes even for researchers involved in the field. The lack of a step-by-step guide hampers the broader understanding of this emergent interdisciplinary body of research."Quantum Machine Learning" sets the scene for a deeper understanding of the subject for readers of different backgrounds. The author has carefully constructed a clear comparison of classical learning algorithms and their quantum counterparts, thus making differences in computational complexity and learning performance apparent. This book synthesizes of a broad array of research into a manageable and concise presentation, with practical examples and applications. Bridges the gap between abstract developments in quantum computing with the applied research on machine learningProvides the theoretical minimum of machine learning, quantum mechanics, and quantum computingGives step-by-step guidance to a broader understanding of this emergent interdisciplinary body of researchWe have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Quantum Machine Learning: What Quantum Computing Means to Data Mining. To get started finding Quantum Machine Learning: What Quantum Computing Means to Data Mining, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
163
Format
PDF, EPUB & Kindle Edition
Publisher
Elsevier
Release
2014
ISBN

Quantum Machine Learning: What Quantum Computing Means to Data Mining

Peter Wittek
4.4/5 (1290744 ratings)
Description: "Quantum Machine Learning" bridges the gap between abstract developments in quantum computing and the applied research on machine learning. Paring down the complexity of the disciplines involved, it focuses on providing a synthesis that explains the most important machine learning algorithms in a quantum framework. Theoretical advances in quantum computing are hard to follow for computer scientists, and sometimes even for researchers involved in the field. The lack of a step-by-step guide hampers the broader understanding of this emergent interdisciplinary body of research."Quantum Machine Learning" sets the scene for a deeper understanding of the subject for readers of different backgrounds. The author has carefully constructed a clear comparison of classical learning algorithms and their quantum counterparts, thus making differences in computational complexity and learning performance apparent. This book synthesizes of a broad array of research into a manageable and concise presentation, with practical examples and applications. Bridges the gap between abstract developments in quantum computing with the applied research on machine learningProvides the theoretical minimum of machine learning, quantum mechanics, and quantum computingGives step-by-step guidance to a broader understanding of this emergent interdisciplinary body of researchWe have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Quantum Machine Learning: What Quantum Computing Means to Data Mining. To get started finding Quantum Machine Learning: What Quantum Computing Means to Data Mining, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
163
Format
PDF, EPUB & Kindle Edition
Publisher
Elsevier
Release
2014
ISBN
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