Statistical Learning.
Overview
| Works: | 33 works in 33 publications in 33 languages | |
|---|---|---|
Titles
Kernel methods for machine learning with Math and R = 100 exercises for building logic /
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(Electronic resources)
Kernel methods for machine learning with Math and Python = 100 exercises for building logic /
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(Electronic resources)
Hyperparameter tuning for machine and deep learning with R = a practical guide /
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Practical statistical learning and data science methods = case studies from LISA 2020 Global Network, USA /
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Data driven model learning for engineers = with applications to univariate time series /
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Stochastic models, statistics and their applications = SMSA 2024, Delft, the Netherlands, March 13-15 /
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(Electronic resources)
A first course in statistical learning = with data examples and Python code /
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Emerging trends in decision support = methodology, algorithms and applications : proceedings of the International Colloquium MOAD24 /
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Multivariate statistics and machine learning in R for beginners = with applications in biology and medicine /
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(Electronic resources)
Business intelligence = 8th International Conference, CBI 2023, Istanbul, Turkey, July 19-21, 2023 : proceedings /
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Fundamentals of supervised machine learning = with applications in Python, R, and Stata /
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(Electronic resources)
Sustainable statistical and data science methods and practices = reports from LISA 2020 Global Network, Ghana, 2022 /
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Causality for artificial intelligence = from a philosophical perspective /
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Decision mathematics, statistical learning and data mining = selected contributions from ICMSCT2023, Manila, Philippines, September 20-21 /
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Data science, classification, and artificial intelligence for modeling decision making
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