Log in

Relevant bibliographies by topics / Machine learning / Books

To see the other types of publications on this topic, follow the link: Machine learning.

Books on the topic 'Machine learning'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 November 2024

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 books for your research on the topic 'Machine learning.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse books on a wide variety of disciplines and organise your bibliography correctly.

1

Zhou, Zhi-Hua. Machine Learning. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-1967-3.

Full text

APA, Harvard, Vancouver, ISO, and other styles

2

Jung, Alexander. Machine Learning. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-8193-6.

Full text

APA, Harvard, Vancouver, ISO, and other styles

3

Mitchell, Tom M., Jaime G. Carbonell, and Ryszard S. Michalski. Machine Learning. Boston, MA: Springer US, 1986. http://dx.doi.org/10.1007/978-1-4613-2279-5.

Full text

APA, Harvard, Vancouver, ISO, and other styles

4

Fernandes de Mello, Rodrigo, and Moacir Antonelli Ponti. Machine Learning. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-94989-5.

Full text

APA, Harvard, Vancouver, ISO, and other styles

5

Bell, Jason. Machine Learning. Indianapolis, IN, USA: John Wiley & Sons, Inc, 2014. http://dx.doi.org/10.1002/9781119183464.

Full text

APA, Harvard, Vancouver, ISO, and other styles

6

Huang, Kaizhu, Haiqin Yang, Irwin King, and Michael Lyu. Machine Learning. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-79452-3.

Full text

APA, Harvard, Vancouver, ISO, and other styles

7

Jebara, Tony. Machine Learning. Boston, MA: Springer US, 2004. http://dx.doi.org/10.1007/978-1-4419-9011-2.

Full text

APA, Harvard, Vancouver, ISO, and other styles

8

Vorobeychik, Yevgeniy, and Murat Kantarcioglu. Adversarial Machine Learning. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-031-01580-9.

Full text

APA, Harvard, Vancouver, ISO, and other styles

9

Chen, Zhiyuan, and Bing Liu. Lifelong Machine Learning. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-031-01581-6.

Full text

APA, Harvard, Vancouver, ISO, and other styles

10

Tsihrintzis, George A., Dionisios N. Sotiropoulos, and Lakhmi C. Jain, eds. Machine Learning Paradigms. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-94030-4.

Full text

APA, Harvard, Vancouver, ISO, and other styles

11

Hutter, Frank, Lars Kotthoff, and Joaquin Vanschoren, eds. Automated Machine Learning. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-05318-5.

Full text

APA, Harvard, Vancouver, ISO, and other styles

12

Sun, Shiliang, Liang Mao, Ziang Dong, and Lidan Wu. Multiview Machine Learning. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-3029-2.

Full text

APA, Harvard, Vancouver, ISO, and other styles

13

Zhang, Cha, and Yunqian Ma, eds. Ensemble Machine Learning. Boston, MA: Springer US, 2012. http://dx.doi.org/10.1007/978-1-4419-9326-7.

Full text

APA, Harvard, Vancouver, ISO, and other styles

14

Tsihrintzis, George A., Maria Virvou, Evangelos Sakkopoulos, and Lakhmi C. Jain, eds. Machine Learning Paradigms. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-15628-2.

Full text

APA, Harvard, Vancouver, ISO, and other styles

15

Carter, Eric, and Matthew Hurst. Agile Machine Learning. Berkeley, CA: Apress, 2019. http://dx.doi.org/10.1007/978-1-4842-5107-2.

Full text

APA, Harvard, Vancouver, ISO, and other styles

16

Vermeulen, Andreas François. Industrial Machine Learning. Berkeley, CA: Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-5316-8.

Full text

APA, Harvard, Vancouver, ISO, and other styles

17

Amunategui, Manuel, and Mehdi Roopaei. Monetizing Machine Learning. Berkeley, CA: Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-3873-8.

Full text

APA, Harvard, Vancouver, ISO, and other styles

18

Forsyth, David. Applied Machine Learning. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-18114-7.

Full text

APA, Harvard, Vancouver, ISO, and other styles

19

Lampropoulos, Aristomenis S., and George A. Tsihrintzis. Machine Learning Paradigms. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19135-5.

Full text

APA, Harvard, Vancouver, ISO, and other styles

20

Golden, Richard M. Statistical Machine Learning. First edition. j Boca Raton, FL : CRC Press, 2020. j Includes bibliographical references and index.: Chapman and Hall/CRC, 2020. http://dx.doi.org/10.1201/9781351051507.

Full text

APA, Harvard, Vancouver, ISO, and other styles

21

Sotiropoulos, Dionisios N., and George A. Tsihrintzis. Machine Learning Paradigms. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-47194-5.

Full text

APA, Harvard, Vancouver, ISO, and other styles

22

Paluszek, Michael, and Stephanie Thomas. MATLAB Machine Learning. Berkeley, CA: Apress, 2017. http://dx.doi.org/10.1007/978-1-4842-2250-8.

Full text

APA, Harvard, Vancouver, ISO, and other styles

23

Moshkov, Mikhail, and Beata Zielosko. Combinatorial Machine Learning. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-20995-6.

Full text

APA, Harvard, Vancouver, ISO, and other styles

24

Tsihrintzis, George A., and Lakhmi C. Jain, eds. Machine Learning Paradigms. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-49724-8.

Full text

APA, Harvard, Vancouver, ISO, and other styles

25

Virvou, Maria, Efthimios Alepis, George A. Tsihrintzis, and Lakhmi C. Jain, eds. Machine Learning Paradigms. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-13743-4.

Full text

APA, Harvard, Vancouver, ISO, and other styles

26

Choo, Kenny, Eliska Greplova, Mark H. Fischer, and Titus Neupert. Machine Learning kompakt. Wiesbaden: Springer Fachmedien Wiesbaden, 2020. http://dx.doi.org/10.1007/978-3-658-32268-7.

Full text

APA, Harvard, Vancouver, ISO, and other styles

27

Jo, Taeho. Machine Learning Foundations. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-65900-4.

Full text

APA, Harvard, Vancouver, ISO, and other styles

28

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.

Full text

APA, Harvard, Vancouver, ISO, and other styles

29

Chen, Zhiyuan, and Bing Liu. Lifelong Machine Learning. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-031-01575-5.

Full text

APA, Harvard, Vancouver, ISO, and other styles

30

O'Shea, Tim. The learning machine. London: BBC Education, 1985.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

31

Cyril, Goutte, ed. Learning machine translation. Cambridge, MA: MIT Press, 2009.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

32

Mennen, Valorie. Machine Learning Basics : a Comprehensive Guide about Machine Learning: Machine Learning. Independently Published, 2021.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

33

Liu, Shaowu, and Zhi-Hua Zhou. Machine Learning. Springer, 2020.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

34

Marsland, Stephen. Machine Learning. Chapman and Hall/CRC, 2014. http://dx.doi.org/10.1201/b17476.

Full text

APA, Harvard, Vancouver, ISO, and other styles

35

Mooney, Raymond J. Machine Learning. Edited by Ruslan Mitkov. Oxford University Press, 2012. http://dx.doi.org/10.1093/oxfordhb/9780199276349.013.0020.

Full text

Abstract:

This article introduces the type of symbolic machine learning in which decision trees, rules, or case-based classifiers are induced from supervised training examples. It describes the representation of knowledge assumed by each of these approaches and reviews basic algorithms for inducing such representations from annotated training examples and using the acquired knowledge to classify future instances. Machine learning is the study of computational systems that improve performance on some task with experience. Most machine learning methods concern the task of categorizing examples described by a set of features. These techniques can be applied to learn knowledge required for a variety of problems in computational linguistics ranging from part-of-speech tagging and syntactic parsing to word-sense disambiguation and anaphora resolution. Finally, this article reviews the applications to a variety of these problems, such as morphology, part-of-speech tagging, word-sense disambiguation, syntactic parsing, semantic parsing, information extraction, and anaphora resolution.

APA, Harvard, Vancouver, ISO, and other styles

36

Zhang, Yagang, ed. Machine Learning. InTech, 2010. http://dx.doi.org/10.5772/217.

Full text

APA, Harvard, Vancouver, ISO, and other styles

37

Machine Learning. United States: University of California, 2018. http://dx.doi.org/10.4135/9781529795417.

Full text

APA, Harvard, Vancouver, ISO, and other styles

38

Machine Learning. Elsevier, 1990. http://dx.doi.org/10.1016/c2009-0-27578-7.

Full text

APA, Harvard, Vancouver, ISO, and other styles

39

Machine Learning. Elsevier, 1991. http://dx.doi.org/10.1016/c2009-0-27657-4.

Full text

APA, Harvard, Vancouver, ISO, and other styles

40

Machine Learning. Elsevier, 2015. http://dx.doi.org/10.1016/c2013-0-19102-7.

Full text

APA, Harvard, Vancouver, ISO, and other styles

41

Machine Learning. Elsevier, 2018. http://dx.doi.org/10.1016/c2015-0-00237-4.

Full text

APA, Harvard, Vancouver, ISO, and other styles

42

Machine Learning. Elsevier, 2020. http://dx.doi.org/10.1016/c2017-0-03724-2.

Full text

APA, Harvard, Vancouver, ISO, and other styles

43

Machine Learning. Elsevier, 2020. http://dx.doi.org/10.1016/c2019-0-03772-7.

Full text

APA, Harvard, Vancouver, ISO, and other styles

44

Kang, Minsoo, and Eunsoo Choi. Machine Learning. WORLD SCIENTIFIC, 2021. http://dx.doi.org/10.1142/12037.

Full text

APA, Harvard, Vancouver, ISO, and other styles

45

Marsland, Stephen. Machine Learning. Chapman and Hall/CRC, 2011. http://dx.doi.org/10.1201/9781420067194.

Full text

APA, Harvard, Vancouver, ISO, and other styles

46

Theodoridis, Sergios. Machine Learning. Elsevier Science & Technology, 2020.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

47

Howey, Hugh, and Zackman Scott Aiello Hugh Howey Gabra. Machine Learning. Audible Studios on Brilliance, 2018.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

48

Machine Learning. Immaterial Books, 2022.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

49

Machine Learning. Rosen Publishing Group, 2024.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

50

Machine Learning. Titles Supplied by John Wiley & Sons Australia, 1986.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!