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  1. 1
    Dataset shift in machine learning
    Published 2009
    Subjects: “…Machine learning.…”
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  2. 2
    Introduction to machine learning /
    by Alpaydin, Ethem
    Published 2014
    Subjects: “…Machine learning.…”
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  3. 3
    Machine learning for dummies /
    by Mueller, John Paul, Massaron, Luca
    Published 2016
    Subjects: “…Machine learning.…”
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  4. 4
    Deep learning by example : a hands-on guide to implementing advanced machine learning algorithms and neural networks /
    by Menshawy, Ahmed
    Published 2018
    Subjects: “…Machine learning.…”
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  5. 5
    Developing the forest machine group /
    by Tuominen, Kari
    Published 2016
    Subjects: “…Machine learning.…”
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  6. 6
    Developing and implementing the strategy of the forest machine group /
    by Tuominen, Kari
    Published 2016
    Subjects: “…Machine learning.…”
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  7. 7
    C-machine learning projects : nine real-world projects to build robust and high-performing machine learning models with C. /
    by Hwang, Yoon Hyup
    Published 2018
    Subjects: “…Machine learning.…”
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  8. 8
    Machine learning with core ML : an ios developer's guide to implementing machine learning in mobile apps /
    by Newnham, Joshua
    Published 2018
    Subjects: “…Machine learning.…”
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  9. 9
    Hands-on reinforcement learning with python : master reinforcement learning and deep reinforcement learning by building intelligent app. /
    by Ravichandiran, Sudharsan
    Published 2018
    Subjects: “…Machine learning.…”
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  10. 10
    Machine learning : hands-on for developers and technical professionals /
    by Bell, Jason
    Published 2015
    Subjects: “…Machine learning.…”
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  11. 11
    Truth from trash : how learning makes sense /
    by Thornton, Christopher James
    Published 2000
    Subjects: “…Machine learning.…”
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  12. 12
    Machine learning in bioinformatics
    by Zhang, Yan-Qing
    Published 2009
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  13. 13
    Machine learning a probabilistic perspective /
    by Murphy, Kevin P., 1970-
    Published 2012
    Subjects: “…Machine learning.…”
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  14. 14
    Feature engineering made easy : identify unique features from your dataset in order to build powerful machine learning systems /
    by Ozdemir, Sinan, Susarla, Divya
    Published 2018
    Subjects: “…Machine learning -- Technique.…”
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  15. 15
    Mastering machine learning algorithms : expert techniques to implement popular machine learning algorithms and fine-tune your models /
    by Bonaccorso, Giuseppe
    Published 2018
    Subjects: “…Machine learning.…”
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  16. 16
    Machine learning approaches to bioinformatics
    by Yang, Zheng Rong
    Published 2010
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  17. 17
    Optimal learning
    by Powell, Warren B., 1955-
    Published 2012
    Subjects: “…Machine learning.…”
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  18. 18
    Cost-sensitive machine learning
    Published 2012
    Subjects: “…Machine learning -- Cost effectiveness.…”
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  19. 19
    Machine learning for financial engineering
    by Györfi, László
    Published 2012
    Subjects: “…Machine learning.…”
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  20. 20
    Machine learning in non-stationary environments introduction to covariate shift adaptation /
    by Sugiyama, Masashi, 1974-
    Published 2012
    Subjects: “…Machine learning.…”
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  21. 21
    Lie group machine learning /
    Subjects: “…Machine learning.…”
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  22. 22
    Machine learning : the new AI /
    by Alpaydin, Ethem
    Published 2016
    Subjects: “…Machine learning.…”
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  23. 23
    Mastering TensorFlow 1.x : advanced machine learning and deep learning concepts using TensorFlow 1.x and Keras /
    by Fandango, Armando
    Published 2018
    Subjects: “…Machine learning -- Mathematical models.…”
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  24. 24
    Kernels for structured data
    by Gartner, Thomas
    Published 2008
    Subjects: “…Machine learning.…”
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  25. 25
    Learning with kernels support vector machines, regularization, optimization, and beyond /
    by Schölkopf, Bernhard
    Published 2002
    Subjects: “…Machine learning.…”
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  26. 26
    The voice in the machine building computers that understand speech /
    by Pieraccini, Roberto, 1955-
    Published 2012
    Subjects: “…Machine learning.…”
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  27. 27
    Advances in kernel methods : support vector learning /
    Published 1999
    Subjects: “…Machine learning.…”
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  28. 28
    The hundred-page machine learning book /
    by Burkov, Andriy
    Published 2019
    Subjects: “…Machine learning.…”
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  29. 29
    Optimization for machine learning
    Published 2012
    Subjects: “…Machine learning -- Mathematical models.…”
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  30. 30
    Next-generation sequencing and sequence data analysis /
    by Chiu, Kuo Ping
    Published 2015
    Subjects: “…Machine learning.…”
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  31. 31
    Financial signal processing and machine learning /
    Published 2016
    Subjects: “…Machine learning.…”
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  32. 32
    Building machine learning systems with Python
    by Richert, Willi
    Published 2013
    Subjects: “…Machine learning.…”
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  33. 33
    Machine learning in python : essential techniques for predictive analysis /
    by Bowles, Michael
    Published 2015
    Subjects: “…Machine learning.…”
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  34. 34
    Process, data and classifier models for accessible supervised classification problem solving /
    by De Bruyne, Steven
    Published 2010
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  35. 35
    Pattern classification using ensemble methods
    by Rokach, Lior
    Published 2010
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  36. 36
    Building machine learning systems with Python : get more from your data through creating practical machine learning systems with Python /
    by Coelho, Luis Pedro, Richert, Willi
    Published 2015
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  37. 37
    Machine learning solutions : expert techniques to tackle complex machine learning problems using Python /
    by Thanaki, Jalaj
    Published 2018
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  38. 38
    Machine learning with Swift : artificial intelligence for iOS /
    by Sosnovshchenko, Alexander
    Published 2018
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  39. 39
    Java for data science : examine the techniques and Java tools supporting the growing field of data science /
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  40. 40
    Python machine learning by example : easy-to-follow examples that get you up and running with machine learning /
    by Liu, Yuxi
    Published 2017
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  41. 41
    Mastering Java machine learning : mastering and implementing advanced techniques in machine learning /
    by Kamath, Uday, Choppella, Krishna
    Published 2017
    Subjects: “…Machine learning.…”
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  42. 42
    Hands-on automated machine learning : a beginner's guide to building automated machine learning systems using AutoML and Python /
    by Das, Sibanjan, Cakmak, Umit Mert
    Published 2018
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  43. 43
    Hands-on machine learning on Google cloud platform : implementing smart and efficient analytics using Cloud ML Engine /
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  44. 44
    Hands-on machine learning with C# : building smarter, speedy and reliable data-intensive applications using machine learning /
    by Cole, Matt R.
    Published 2018
    Subjects: “…Machine learning.…”
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  45. 45
    Python machine learning : machine learning and deep learning with Python, scikit-learn, and TensorFlow /
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  46. 46
    Scikit-learn cookbook : over 80 recipes for machine learning python with scikit-learn /
    by Avila, Julian, Hauck, Trent
    Published 2017
    Subjects: “…Machine learning.…”
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  47. 47
    Learning scikit-learn : machine learning in Python /
    by Garreta, Raul
    Published 2013
    Subjects: “…Machine learning.…”
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  48. 48
    Multi-label dimensionality reduction /
    by Liang Sun
    Published 2014
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  49. 49
    Machine learning with R /
    by Lantz, Brett
    Published 2013
    Subjects: “…Machine learning.…”
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  50. 50
    Graphical models for machine learning and digital communication /
    by Frey, Brendan J.
    Published 1998
    Subjects: “…Machine learning.…”
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  51. 51
    Machine learning and statistical approaches to image retrieval
    by Chen, Yixin, 1972-
    Published 2004
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  52. 52
    Advanced machine learning with Python : solve challenging data science problems by mastering cutting-edge machine learning techniques in Python /
    by Hearty, John
    Published 2016
    Subjects: “…Machine learning.…”
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  53. 53
    An elementary introduction to statistical learning theory
    by Kulkarni, Sanjeev
    Published 2011
    Subjects: “…Machine learning -- Statistical methods.…”
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  54. 54
    Machine interpretation of patterns image analysis and data mining /
    Published 2010
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  55. 55
    AI for marketing and product innovation : powerful new tools for predicting trends, connecting with customers, and closing sales /
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  56. 56
    Least squares support vector machines
    Published 2002
    Subjects: “…Machine learning.…”
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  57. 57
    Concept data analysis theory and applications /
    by Carpineto, Claudio
    Published 2004
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  58. 58
    Robot shaping : an experiment in behavior engineering /
    by Dorigo, Marco
    Published 1998
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  59. 59
    Hands-on data science with Anaconda : utilize the right mix of tools to create high-performance data science applications /
    by Yan, Yuxing, Yan, James
    Published 2018
    Subjects: “…Machine learning.…”
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  60. 60
    Learning OWL class expressions /
    by Lehmann, Jens, 1982-
    Published 2010
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  61. 61
    Gaussian processes for machine learning
    by Rasmussen, Carl Edward
    Published 2006
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  62. 62
    Building machine learning systems with Python : explore machine learning and deep learning techniques for building intelligent systems using scikit-learn and TensorFlow /
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  63. 63
    Multi-agent machine learning : a reinforcement approach /
    by Schwartz, Howard M.
    Published 2014
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  64. 64
    Machine learning : a Bayesian and optimization perspective /
    by Theodoridis, Sergios, 1951-
    Published 2015
    Subjects: “…Machine learning.…”
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  65. 65
    Advances in financial machine learning /
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  66. 66
    Natural language processing with TensorFlow : teach language to machines using Python's deep learning library /
    by Ganegedara, Thushan
    Published 2018
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  67. 67
    Hands-on ensemble learning with R : a beginner's guide to combining the power of machine learning algorithms using ensemble techniques /
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  68. 68
    Machine learning in image steganalysis
    by Schaathun, Hans Georg
    Published 2012
    Subjects: “…Machine learning.…”
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  69. 69
    Hands-on data science and Python machine learning : perform data mining and machine learning efficiently using Python and Spark /
    by Kane, Frank
    Published 2017
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  70. 70
    Deep learning with TensorFlow : explore neural networks and build intelligent systems with Python /
    by Zaccone, Giancarlo, Karim, Rezaul
    Published 2018
    Subjects: “…Machine learning.…”
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  71. 71
    Modern Scala projects : leverage the power of Scala for building data-driven and high-performant projects /
    by Gurusamy, Ilango
    Published 2018
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  72. 72
    Kernel methods for pattern analysis
    by Shawe-Taylor, John
    Published 2004
    Subjects: “…Machine learning.…”
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  73. 73
    An inductive logic programming approach to statistical relational learning
    by Kersting, Kristian
    Published 2006
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  74. 74
    Support vector machine in chemistry
    Published 2004
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  75. 75
    Advances in learning theory methods, models, and applications /
    Published 2003
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  76. 76
    Scala machine learning projects : build real-world machine learning and deep learning projects with Scala /
    by Karim, Md. Rezaul
    Published 2018
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  77. 77
    Pandas cookbook : recipes for scientific computing, time series analysis and data visualization using Python /
    by Petrou, Theodore
    Published 2017
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  78. 78
    Approximation methods for efficient learning of Bayesian networks
    by Riggelsen, Carsten
    Published 2008
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  79. 79
    Machine learning for protein subcellular localization prediction /
    by Wan, Shibiao, Mak, M. W.
    Published 2015
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  80. 80
    Iterative learning control for multi-agent systems coordination /
    by Yang, Shiping, 1987-
    Published 2017
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  81. 81
    Python deep learning : next generation techniques to revolutionize computer vision, AI, speech and data analysis /
    by Zocca, Valentino
    Published 2017
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  82. 82
    Healthcare analytics made simple : techniques in healthcare computing using machine learning and Python /
    by Kumar, Vikas
    Published 2018
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  83. 83
    Induction : processes of inference, learning, and discovery /
    Published 1986
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  84. 84
    Big data and machine learning in quantitative investment /
    by Guida, Tony, 1979-
    Published 2019
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  85. 85
    3D shape analysis : fundamentals, theory, and applications /
    by Laga, Hamid
    Published 2019
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  86. 86
    Machine learning applications in software engineering
    Published 2005
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  87. 87
    Robot learning by visual observation /
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  88. 88
    Learn Unity ML-Agents : fundamentals of Unity machine learning : incorporate new powerful ML algorithms such as deep reinforcement learning for games /
    by Lanham, Micheal
    Published 2018
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  89. 89
    Bridging the gap between graph edit distance and kernel machines
    by Neuhaus, Michel
    Published 2007
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  90. 90
    Programming skills for data science : start writing code to wrangle, analyze, and visualize data with R /
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  91. 91
    Python natural language processing : explore NLP with machine learning and deep learning techniques /
    by Thanaki, Jalaj
    Published 2017
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  92. 92
    Apache Spark machine learning blueprints : develop a range of cutting-edge machine learning projects with Apache Spark using this actionable guide /
    by Liu, Alex
    Published 2016
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  93. 93
    Intelligence emerging : adaptivity and search in evolving neural systems /
    by Downing, Keith L.
    Published 2015
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  94. 94
    Nearest-neighbor methods in learning and vision theory and practice /
    Published 2005
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  95. 95
    Java deep learning projects : implement 10 real-world deep learning applications using Deeplearning4j and open source APIs /
    by Karim, Rezaul
    Published 2018
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  96. 96
    Learning to rank for information retrieval and natural language processing /
    by Li, Hang, 1965-
    Published 2015
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  97. 97
    Bioinformatics : the machine learning approach /
    by Baldi, Pierre
    Published 1998
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  98. 98
    Natural language annotation for machine learning /
    by Pustejovsky, J. (James)
    Published 2013
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  99. 99
    Introduction of intelligent machine fault diagnosis and prognosis
    by Yang, O-Suk
    Published 2009
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  100. 100
    Bioinformatics the machine learning approach /
    by Baldi, Pierre
    Published 2001
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