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Machine learning methods in the environmental sciences : neural networks and kernels / by William W. Hsieh.

by Hsieh, William Wei, 1955-.

Material type: Text Text; Format: electronic available online remote; Literary form: Not fiction ; Audience: General; Publication details: New Delhi: Cambridge University Press, 2010Availability: Items available for loan: 1 Call number: 006.31 HSI-M 2010 3565.

Machine learning / Tom M. Michael

by Michael, Tom M.

Material type: Text Text; Format: print ; Literary form: Not fiction Publication details: New Delhi: Mc Graw Hill, 2017Availability: Items available for loan: 3 Call number: 006.31 MIT-M 2017 9431, ...

Bayesian reasoning and machine learning / David Barber.

by Barber, David, .

Material type: Text Text; Format: print ; Literary form: Not fiction Publication details: New Delhi : Cambridge University Press, 2017Availability: Items available for loan: 2 Call number: 006.31 BAR-B 2017 9612, ...

Machine learning: the art and science of algorithms that make sense of data / by Peter Flach

by Flach, Peter A.

Material type: Text Text; Format: print ; Literary form: Not fiction Publication details: New Delhi : Cambridge University Press, 2018Availability: Items available for loan: 1 Call number: 006.4 FLA-M 2016 9835.

Machine learning for big data: Hands-on for developers and technical professionals / by Jason Bell.

by Bell, Jason.

Material type: Text Text; Format: print ; Literary form: Not fiction Publication details: New Delhi: Wiley, c2018Availability: Items available for loan: 1 Call number: 006.31 BEL-M 2018 10243.

Machine learning (in python and R) dummies / by Johan Paul Mueller and Luca Massaron

by Mueller, John Paul | Massaron, Luca.

Material type: Text Text; Format: print ; Literary form: Not fiction Publication details: New Delhi: Wiley, c2018Other title: Machine learning in python and R dummies.Availability: Items available for loan: 1 Call number: 006.31 PAU-M 2018 10248.

Machine Learning with R / by Abhijit Ghatak

by Ghatak, Abhijit.

Material type: Text Text; Format: print ; Literary form: Not fiction Publication details: New York : Springer c 2017Availability: Items available for loan: 1 Call number: 006.31 GHA-M 2017 10282.

The elements of statistical learning : data mining, inference, and prediction / Trevor Hastie, Robert Tibshirani, Jerome Friedman.

by Hastie, Trevor | Tibshirani, Robert | Friedman, J. H. (Jerome H.).

Series: Springer series in statisticsEdition: 2nd ed.Material type: Text Text; Format: print ; Literary form: Not fiction Publication details: New York, NY : Springer, c2017Availability: Items available for loan: 1 Call number: 006.31 HAS-T 2017 10613.

Machine learning for dummies / by John Paul Mueller and Luca Massaron

by Mueller, John Paul | Massaron, Luca.

Edition: 2nd.Material type: Text Text; Format: print ; Literary form: Not fiction Publication details: New Jersey: Mueller, 2021Availability: Not available: Checked out (1).

Hands-on machine learning with Scikit-Learn and TensorFlow : concepts, tools, and techniques to build intelligent systems / by Aurelien Geron.

by Geron, Aurelien.

Edition: 2nd.Material type: Text Text; Format: print ; Literary form: Not fiction Publication details: Beijing: O'Reilly, 2019Availability: Items available for loan: 1 Call number: 006.31 GER-H 2019 12209.
  (1 votes)
The hundred-page machine learning book / by Andriy Burkov.

by Burkov, Andriy.

Material type: Text Text; Format: print ; Literary form: Not fiction Publication details: New York: Aurelien Geron, 2021Availability: Not available: Checked out (1).

Machine learning engineering / by Andriy Burkov

by Burkov, Andriy.

Material type: Text Text; Format: print ; Literary form: Not fiction Publication details: New York: True Positive, 2020Availability: Items available for loan: 1 Call number: 006.31 BUR-M 2020 12212.

Machine learning for absolute beginners / By Oliver Theobald.

by Theobald, Oliver.

Material type: Text Text; Format: print ; Literary form: Not fiction Publication details: New York: ICJ Testing, 2021Availability: Items available for loan: 1 Call number: 006.31 THE-M 2021 12213.
  (1 votes)
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