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Subjects (1-17 of 17)
Machine learning -- Statistical methods
1
2024
Applied machine learning using mlr3 in R
First edition
Boca Raton : CRC Press, 2024
Rating:
Electronic Resources
2
2023
Applied statistical learning : with case studies in Stata
Schonlau, Matthias, 1967-
Cham : Springer, 2023
Rating:
Electronic Resources
3
2023
Bayesian tensor decomposition for signal processing and machine learning : modeling, tuning-free algorithms and applications
Cheng, Lei, author
Cham, Switzerland : Springer, 2023
Rating:
Electronic Resources
4
2014
Boosted statistical relational learners : from benchmarks to data-driven medicine
Natarajan, Sriraam, author
Cham : Springer, [2014]
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Electronic Resources
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5
2005
Deterministic and statistical methods in machine learning : first international workshop, Sheffield, UK, September 7-10, 2004 : revised lectures
Sheffield Machine Learning Workshop (2004 : Sheffield, England)
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6
2011
An elementary introduction to statistical learning theory
Kulkarni, Sanjeev.
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Electronic Resources
7
2023
Elements of dimensionality reduction and manifold learning
Ghojogh, Benyamin, author
Cham : Springer, [2023]
Rating:
Electronic Resources
8
2019
Ensemble classification methods with applications in R
Hoboken, NJ : John Wiley & Sons, Inc., 2019
Rating:
Electronic Resources
9
2023
Hyperparameter tuning for machine and deep learning with R : a practical guide
Singapore : Springer, 2023
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Electronic Resources
10
2021
Introduction to statistical and machine learning methods for data science
Reis Pinheiro, Carlos Andre, 1940-
Rating:
Electronic Resources
11
2016
Introduction to statistical machine learning
Sugiyama, Masashi, author
Waltham, MA : Morgan Kaufmann, 2016
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Electronic Resources
12
2023
Learning in the absence of training data
Chakrabarty, Dalia, author
Cham : Springer, 2023
Rating:
Electronic Resources
13
2015
Machine learning with R : expert techniques for predictive modeling to solve all your data analysis problems
Lantz, Brett, author
Second edition
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14
2013
Machine learning with R : learn how to use R to apply powerful machine learning methods and gain an insight into real-world applications
Lantz, Brett, author.
Birmingham, UK : Packt Publishing, 2013
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15
2013
Machine learning with R : learn how to use R to apply powerful machine learning methods and gain an insight into real-world applications
Lantz, Brett, author
Birmingham, UK : Packt Publishing, 2013
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MELB
519.502855133 Lan/Mlw
AVAILABLE
MELB
519.502855133 Lan/Mlw
AVAILABLE
MELB
519.502855133 Lan/Mlw
AVAILABLE
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16
2022
Minimum divergence methods in statistical machine learning : from an information geometric viewpoint
Eguchi, Shinto, author
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Electronic Resources
17
2012
Statistical learning and data science
Boca Raton : CRC Press, Taylor & Francis Group, [2012]
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