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1. Quantum machine learning
: what quantum computing means to data mining
by Wittek, Peter, author
2014, First edition., ISBN 0128009535, x, 163 pages
Data mining | Quantum theory | Machine learning | Data processing | Mathematical models | Quantum computers | Statistical methods | Educational statistics | Research | Education | Data- och informationsvetenskap | support vector machines | Quantum Information Theory | Biblioteks- och informationsvetenskap | supervised learning | neural networks | quantum optimization | quantum learning of unitary | Computer and Information Sciences | machine learning | Hopfield networks | unsupervised learning | adiabatic processes | Library and Information Science | Naturvetenskap | quantum computing | process tomography | clustering | Natural Sciences
Book
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2. A first course in machine learning
by Rogers, Simon
2011, ISBN 1439824142, cm.
Book
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3. Machine learning
: a probabilistic perspective
by Murphy, Kevin P., 1970
2012, Adaptive computation and machine learning series, ISBN 9780262018029, xxix, 1071
Probabilities | Machine learning
Book
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4. Full Text Quantum machine learning
by Biamonte, Jacob and Wittek, Peter and Pancotti, Nicola and Rebentrost, Patrick and Wiebe, Nathan and Lloyd, Seth
Nature (London), ISSN 0028-0836, 09/2017, Volume 549, Issue 7671, pp. 195 - 202
Science & Technology - Other Topics | Multidisciplinary Sciences | Science & Technology | Quantum computing | Research | Engineering research | Machine learning | Computers | Digital computers | Fourier transforms | Data analysis | Queries | Principal components analysis | Learning programs | Quantum computers | Computer programs | Learning algorithms | Algorithms | Neural networks | Linear algebra | Software | Artificial intelligence
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5. Full Text Machine Learning in Medicine _ a Complete Overview
by Cleophas, Ton J and Zwinderman, Aeilko H
2020, ISBN 3030339696, 644
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6. Machine learning for ecology and sustainable natural resource management
by Humphries, Grant and Magness, Dawn R and Huettmann, Falk
2018, ISBN 9783319969763, xxiv, 441 pages
Gestion adaptative | Exploration de données (Informatique) | Ressources naturelles | Ecology | Adaptive natural resource managment | Research | Data mining | Recherche | Écologie | Artificial intelligence-Biological applications | Ecology-Data processing
Book
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7. Full Text Machine learning: Trends, perspectives, and prospects
by M. I. Jordan and T. M. Mitchell
Science (American Association for the Advancement of Science), ISSN 0036-8075, 7/2015, Volume 349, Issue 6245, pp. 255 - 260
REVIEW | Science & Technology - Other Topics | Multidisciplinary Sciences | Science & Technology | Computer Systems | Artificial Intelligence - trends | Data Interpretation, Statistical | Algorithms | Humans | Computer science | Big Data | Artificial intelligence | Index Medicus | Computer simulation | Construction equipment | Machine learning | Commerce | Mathematical models | Intersections | Statistics
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8. Full Text Determinantal point processes for machine learning
by Kulesza, Alex and Taskar, Ben
Foundations and trends in machine learning, ISSN 1935-8237, 2012, Volume 5, Issue 2-3, pp. 123 - 286
Construction | Algorithms | Searching | Buildings | Construction equipment | Machine learning | Inference | Sampling
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9. Statistics, data mining, and machine learning in astronomy
: a practical Python guide for the analysis of survey data
by Ivezić, Željko and Connolly, Andrew and Vanderplas, Jacob T and Gray, Alexander
2014, STU - Student edition, Princeton series in modern observational astronomy., ISBN 9780691151687, x, 540 pages
Maschinelles Lernen | Statistical astronomy | Astronomie | Data Mining | Data processing | Statistik | Astronomy | Technology | Statistics | Physics
Book
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10. Full Text Non-convex optimization for machine learning
by Jain, Prateek and Kar, Purushottam
Foundations and trends in machine learning, ISSN 1935-8237, 2017, Volume 10, Issue 3-4, pp. 142 - 336
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11. Full Text Probabilistic machine learning and artificial intelligence
by Ghahramani, Zoubin
Nature (London), ISSN 0028-0836, 05/2015, Volume 521, Issue 7553, pp. 452 - 459
Science & Technology - Other Topics | Multidisciplinary Sciences | Science & Technology | Automation | Uncertainty | Artificial Intelligence | Bayes Theorem | Statistics, Nonparametric | Models, Statistical | Data Compression | Learning models (Stochastic processes) | Artificial intelligence | Analysis | Machine learning | Datasets | Decision making | Theory | Noise | Data compression | Bayesian analysis | Index Medicus
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12. A first course in machine learning
by Rogers, Simon, 1979 and Girolami, Mark, 1963
2017, Second edition., Chapman & Hall/CRC machine learning & pattern recognition series, ISBN 1498738486, xxix, 397 pages
Machine learning
Book
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13. Full Text Kernel Methods in Machine Learning
by Thomas Hofmann and Bernhard Schölkopf and Alexander J. Smola
The Annals of statistics, ISSN 0090-5364, 6/2008, Volume 36, Issue 3, pp. 1171 - 1220
Approximation | Machine learning | Dot product of vectors | Hilbert spaces | Principal components analysis | Mathematical vectors | Mathematical functions | Mathematics | Learning theory | Modeling | Support vector machines | Graphical models | Reproducing kernels | Statistics & Probability | Physical Sciences | Science & Technology | General topics | Mathematical analysis | Exact sciences and technology | Probability theory and stochastic processes | Markov processes | Functional analysis | Probability and statistics | Statistics | Sciences and techniques of general use | Studies | Algorithms | Linear programming | Nonlinear programming | Estimating techniques | Artificial intelligence | support vector machines | 68T05 | reproducing kernels | graphical models | 30C40
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