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243033293
Quantum Machine Learning: What Quantum Computing Means to Data Mining
Item #:
243033293
MUR 6042
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Quantum Machine Learning bridges the gap between abstract developments in quantum computing and the applied research on machine learning.
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- 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 research
| Publisher | Academic Press |
| Publication date | September 2, 2016 |
| Edition | 1st |
| Language | English |
| Print length | 176 pages |
| ISBN-10 | 0128100400 |
| ISBN-13 | 978-0128100400 |
| Item Weight | 10.5 ounces (297.68 grams) |
| Dimensions | 6.01 x 0.4 x 8.99 inches (15.3 x 1 x 22.8 cm) |
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Quantum Machine Learning: What Quantum Computing Means to Data Mining
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Intelligence & Semantics Editorial Review
Quantum Machine Learning: What Quantum Computing Means to Data Mining is a compelling exploration of how quantum computing can transform data mining. Published by Academic Press in September 2016, this 176-page book offers an engaging introduction to the intersection of quantum mechanics and machine learning, revealing groundbreaking insights for researchers and practitioners alike. Readers appreciate its accessible language and clear explanations, making complex topics understandable even for those new to the field. The book's dimensions of 6.01 x 0.4 x 8.99 inches make it portable enough for study on the go, appealing to professionals who are keen on advancing their knowledge in quantum applications for data analysis.
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Pros
- Concise overview of quantum machine learning
- Accessible language for complex topics
- Portable size for convenient reading
- Engaging insight into data mining
- Published by a reputable press
Cons
- Some readers may find it too brief for in-depth study
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Features & Benefits
- Bridges the gap between quantum computing and machine learning.
- Simplifies complex theories for easier understanding.
- Compares classical learning algorithms with quantum counterparts.
- Highlights differences in computational complexity.
- Includes practical examples and applications.
- Offers step-by-step guidance for diverse readers.
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