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1. Machine learning
: an algorithmic perspective
by Marsland, Stephen
2015, 2nd edition., Chapman & Hall/CRC machine learning & pattern recognition series., ISBN 1466583282, xx, 437
Algorithms | Machine learning
Book
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2. 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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3. An introduction to statistical learning
: with applications in R
by James, Gareth and Witten, Daniela and Hastie, Trevor and Tibshirani, Robert
2013, Springer texts in statistics, ISBN 9781461471370, Volume 103., xvi, 426 pages
R (Langage de programmation) | Mathematical statistics | Modèles mathématiques | Mathematical models | R (Computer program language) | Statistique mathématique | Statistics | Statistique | Aktienkurs | Prognosemodell | Methode | Datenanalyse | Regression | Lernen | Gentechnologie | Medizin | Klassifikation | Statistische Methode | Lohnhöhe | Modell | Assoziation | Software | Statistik | Clusteranalyse | Data mining
Book
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4. Causal learning
: psychology, philosophy, and computation
by Gopnik, Alison and Schulz, Laura
2007, Oxford Series in Cognitive Development, ISBN 0195176804, x, 358
Developmental Psychology | Causation | Learning, Psychology of | Causal knowledge | Concepts | Statistical learning | Bayes nets | Folk theories | Probabilistic models | Cognitive development | Bayesian inference | Causal learning | Causal models
Book
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5. The elements of statistical learning
: data mining, inference, and prediction
by Hastie, Trevor author and Tibshirani, Robert, author and Friedman, J. H. author. (Jerome H.)
2017, Second Edition ; Corrected at 12th printing 2017, Springer series in statistics, ISBN 0387848576, xxii, 745 pages
Electronic data processing | Data processing | Biology | Mathematics | Data mining | Statistics | Supervised learning (Machine learning) | Computational biology | Mathematical statistics
Book
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6. Deep learning: Methods and applications
by Deng, Li and Yu, Dong
Foundations and trends in signal processing, ISSN 1932-8346, 2013, Volume 7, Issue 3-4, pp. 197 - 387
Learning | Computer vision | Networks | Natural language (computers) | Neural networks | Signal processing | Data processing | Object recognition
Journal Article
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7. A first course in machine learning
by Rogers, Simon, 1979 and Girolami, Mark, 1963
2012, Chapman & Hall/CRC machine learning & pattern recognition series, ISBN 1439824142, xx, 285
Machine learning
Book
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8. Full Text Effects of Feedback in a Computer-Based Learning Environment on Students' Learning Outcomes: A Meta-Analysis
by Fabienne M. Van der Kleij and Remco C. W. Feskens and Theo J. H. M. Eggen
Review of educational research, ISSN 0034-6543, 12/2015, Volume 85, Issue 4, pp. 475 - 511
IR-98270 | METIS-313342 | feedback | meta-analysis | learning | computers | Education & Educational Research | Social Sciences | Intellectual Disciplines | High Schools | Regression (Statistics) | Electronic Learning | Mathematics | Languages | Computer Assisted Instruction | Outcomes of Education | Accuracy | Instructional Effectiveness | Sciences | Coding | Primary Education | Effect Size | Literature Reviews | Meta Analysis | Statistical Analysis | Feedback (Response) | Learning | Data analysis | Learning environment | Computer modeling and simulation | Feedback | Social sciences | Meta analyses | Learning outcomes | School environment | Meta-analysis | Computer assisted instruction--CAI
Journal Article
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9. Algorithmic learning in a random world
by Vovk, Vladimir
2005, ISBN 9780387001524, xiv, 324
Prediction theory | Statistics and Computing/Statistics Programs | Artificial Intelligence | Computer Science | Data Structures and Information Theory
Book
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10. Machine learning
: a probabilistic perspective
by Murphy, Kevin P
2012, Adaptive Computation and Machine Learning series, ISBN 9780262018029, cm.
Probabilities | Machine learning
Book
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11. Learning with uncertainty
by Wang, Xizhao, author and Zhai, Junhai, author
2017, ISBN 9781498724135, xii, 227 pages
Decision trees | Fuzzy decision making | Machine learning | Statistical Computing | Machine Learning
Book
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12. Full Text Statistical Reinforcement Learning
: Modern Machine Learning Approaches
by Sugiyama, Masashi
2015, Chapman & Hall/CRC machine learning & pattern recognition series, ISBN 9781439856895, 206
Statistical Computing | Machine Learning - Design | Reinforcement learning
eBook
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13. Full Text Quantum Generative Adversarial Learning
by Lloyd, Seth and Weedbrook, Christian
Physical review letters, ISSN 0031-9007, 07/2018, Volume 121, Issue 4, pp. 040502 - 040502
Physics, Multidisciplinary | Physical Sciences | Physics | Science & Technology | Networks | Statistical analysis | Games | Machine learning | Statistical methods | Statistics | Quantum theory | Quantum phenomena | Physics - Quantum Physics
Journal Article
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