Quantum Machine Learning: What Quantum Computing Means to Data Mining download free [PDF and Ebook] by Peter Wittek

Quantum Machine Learning: What Quantum Computing Means to Data Mining download free [PDF and Ebook] by Peter Wittek year 2016
  • Book name: Quantum Machine Learning: What Quantum Computing Means to Data Mining
  • Author: Peter Wittek
  • Release date: 2016/12/20
  • Publisher: ELSEVIER SCIENCE PUBLISHING CO INC
  • Language: English
  • Genre or Collection: Computing
  • ISBN: 9780128100400
  • Rating: 7.63 of 10
  • Votes: 732
  • Review by: Coraline Nadeau
  • Review rating: 8.49 of 10
  • Review Date: 2018/11/20
  • Total pages: 176
  • Includes a PDF summary of 16 pages
  • Description or summary of the book: 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.
  • Estimated reading time (average reader): 9H20M15S
  • Other categories, genre or collection: Quantum Physics (quantum Mechanics & Quantum Field Theory), Machine Learning, Physical Chemistry, Artificial Intelligence, Mathematical Physics
  • Available formats: TXT, PDF, GIF, WORD, EPUB, DOC, AZW3, RB. Compressed in ARJ, CBR, ZIP, RAR
  • Download servers: Uploaded, Torrent, MEGA, Nubo, FileServe
  • Format: Paperback
  • Approximate value: 85.78 USD
  • Dimensions: 152x229x9.65mm
  • Weight: 230g
  • Printed by: Academic Press Inc
  • Published in: San Diego, United States
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