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Books on the topic 'Machine learning algorithms'

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Author: Grafiati

Published: 4 June 2021

Last updated: 13 August 2024

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1

Li, Fuwei, Lifeng Lai, and Shuguang Cui. Machine Learning Algorithms. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-16375-3.

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2

Ayyadevara, V. Kishore. Pro Machine Learning Algorithms. Berkeley, CA: Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-3564-5.

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3

Hutchinson, Alan. Algorithmic learning. Oxford: Clarendon Press, 1994.

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4

Grefenstette, John J., ed. Genetic Algorithms for Machine Learning. Boston, MA: Springer US, 1994. http://dx.doi.org/10.1007/978-1-4615-2740-4.

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5

Mandal, Jyotsna Kumar, Somnath Mukhopadhyay, Paramartha Dutta, and Kousik Dasgupta, eds. Algorithms in Machine Learning Paradigms. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-1041-0.

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6

J, Grefenstette John, ed. Genetic algorithms for machine learning. Boston: Kluwer Academic Publishers, 1994.

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7

Paliouras, Georgios. Scalability of machine learning algorithms. Manchester: University of Manchester, 1993.

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8

Grefenstette, John J. Genetic Algorithms for Machine Learning. Boston, MA: Springer US, 1994.

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9

Ertekin, Şeyda. Algorithms for efficient learning systems: Online and active learning approaches. Saarbrücken: VDM Verlag Dr. Müller, 2009.

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10

Mohri, Mehryar. Foundations of machine learning. Cambridge, MA: MIT Press, 2012.

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11

Chatterjee, Chanchal. Adaptive Machine Learning Algorithms with Python. Berkeley, CA: Apress, 2022. http://dx.doi.org/10.1007/978-1-4842-8017-1.

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12

Das, Santosh Kumar, Shom Prasad Das, Nilanjan Dey, and Aboul-Ella Hassanien, eds. Machine Learning Algorithms for Industrial Applications. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-50641-4.

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13

Joshi, Gauri. Optimization Algorithms for Distributed Machine Learning. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-19067-4.

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14

Marsland, Stephen. Machine learning: An algorithmic perspective. Boca Raton: Chapman & Hall/CRC, 2009.

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15

Boyle, Brandon H. Support vector machines: Data analysis, machine learning, and applications. Hauppauge, N.Y: Nova Science Publishers, 2011.

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16

1941-, Arikawa S., ed. Algorithmic learning theory. Berlin: Springer, 1990.

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17

1967-, Thrun Sebastian, and Pratt Lorien, eds. Learning to learn. Boston, Mass: Kluwer Academic Publishers, 1998.

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18

Szepesvári, Csaba. Algorithms for reinforcement learning. San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA): Morgan & Claypool, 2010.

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19

Schapire, Robert E. Boosting: Foundations and algorithms. Cambridge, MA: MIT Press, 2012.

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20

MACKAY, DAVID J. C. Information Theory, Inference & Learning Algorithms. Cambridge, UK: Cambridge University Press, 2003.

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21

Myles, White John, ed. Machine learning for hackers. Sebastopol, CA: O'Reilly Media, 2012.

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22

Shanthamallu, Uday Shankar, and Andreas Spanias. Machine and Deep Learning Algorithms and Applications. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-03758-0.

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23

Thampi, Sabu M., Ljiljana Trajkovic, Kuan-Ching Li, Swagatam Das, Michal Wozniak, and Stefano Berretti, eds. Machine Learning and Metaheuristics Algorithms, and Applications. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-4301-2.

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24

Thampi, Sabu M., Selwyn Piramuthu, Kuan-Ching Li, Stefano Berretti, Michal Wozniak, and Dhananjay Singh, eds. Machine Learning and Metaheuristics Algorithms, and Applications. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0419-5.

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25

Mohammed, Mohssen, Muhammad Badruddin Khan, and Eihab Bashier Mohammed Bashier. Machine Learning. Taylor & Francis Group, 2020.

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26

Machine Learning: Algorithms and Applications. Taylor & Francis Group, 2016.

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27

Mohammed, Mohssen, Muhammad Badruddin Khan, and Eihab Bashier Mohammed Bashier. Machine Learning: Algorithms and Applications. Taylor & Francis Group, 2016.

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28

Mohammed, Mohssen, Muhammad Badruddin Khan, and Eihab Bashier Mohammed Bashier. Machine Learning: Algorithms and Applications. Taylor & Francis Group, 2016.

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29

Celebi, M. Emre, and Kemal Aydin. Unsupervised Learning Algorithms. Springer London, Limited, 2016.

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30

Unsupervised Learning Algorithms. Springer, 2016.

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31

Alinnor, Ugonna. Introduction to Machine Learning Algorithms: 10 Commonly Used Algorithms Machine Learning Experts. Independently Published, 2022.

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32

Mukhopadhyay, Somnath, Jyotsna Kumar Mandal, Paramartha Dutta, and Kousik Dasgupta. Algorithms in Machine Learning Paradigms. Springer Singapore Pte. Limited, 2021.

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33

Srinivas, Mettu, G. Sucharitha, Anjanna Matta, and Prasenjit Chatterjee, eds. Machine Learning Algorithms and Applications. Wiley, 2021. http://dx.doi.org/10.1002/9781119769262.

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34

Grefenstette, John J. Genetic Algorithms for Machine Learning. Springer, 1993.

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35

Srinivas, Mettu, G. Sucharitha, and Anjanna Matta. Machine Learning Algorithms and Applications. Wiley & Sons, Incorporated, John, 2021.

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36

Srinivas, Mettu, G. Sucharitha, and Anjanna Matta. Machine Learning Algorithms and Applications. Wiley & Sons, Limited, John, 2021.

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37

Srinivas, Mettu, G. Sucharitha, and Anjanna Matta. Machine Learning Algorithms and Applications. Wiley & Sons, Incorporated, John, 2021.

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38

Mukhopadhyay, Somnath, Jyotsna Kumar Mandal, and Paramartha Dutta. Algorithms in Machine Learning Paradigms. Springer, 2020.

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39

Mukhopadhyay, Somnath, Jyotsna Kumar Mandal, Paramartha Dutta, and Kousik Dasgupta. Algorithms in Machine Learning Paradigms. Springer, 2020.

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40

Grefenstette, John J. Genetic Algorithms for Machine Learning. Springer, 2012.

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41

Srinivas, Mettu, G. Sucharitha, and Anjanna Matta. Machine Learning Algorithms and Applications. Wiley & Sons, Incorporated, John, 2021.

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42

Mohammed, Mohssen, Muhammad Badruddin Khan, and Eihab Bashier Mohammed Bashier. Machine Learning: Algorithms and Applications. Taylor & Francis Group, 2016.

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43

Mohammed, Mohssen, Muhammad Badruddin Khan, and Eihab Bashier Mohammed Bashier. Machine Learning: Algorithms and Applications. Taylor & Francis Group, 2016.

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44

Smolyakov, Vadim. Machine Learning Algorithms in Depth. Manning Publications Co. LLC, 2023.

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45

Bonaccorso, Giuseppe. Machine Learning Algorithms: Popular algorithms for data science and machine learning, 2nd Edition. Packt Publishing - ebooks Account, 2018.

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46

Kirk, Matthew. Thoughtful Machine Learning. O'Reilly Media, Incorporated, 2014.

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47

Bach, Francis, Yoav Freund, and Robert E. Schapire. Boosting: Foundations and Algorithms. MIT Press, 2012.

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48

Bach, Francis, Yoav Freund, and Robert E. Schapire. Boosting: Foundations and Algorithms. MIT Press, 2014.

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49

Freund, Yoav, and Robert E. Schapire. Boosting: Foundations and Algorithms. MIT Press, 2018.

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50

Machine Learning with Spark. Packt Publishing, Limited, 2015.

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