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書目資訊
主題
Machine learning - Statistical methods.
概要
作品:
9 作品在 8 項出版品 8 種語言
書目資訊
Introduction to statistical relational learning
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(書目-語言資料,印刷品)
Boosted statistical relational learners = from benchmarks to data-driven medicine /
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(書目-電子資源)
Introduction to statistical machine learning /
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(書目-電子資源)
Minimum divergence methods in statistical machine learning = from an information geometric viewpoint /
by:
(書目-電子資源)
Hyperparameter tuning for machine and deep learning with R = a practical guide /
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(書目-電子資源)
Learning in the absence of training data
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(書目-電子資源)
Applied statistical learning = with case studies in Stata /
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(書目-電子資源)
Bayesian tensor decomposition for signal processing and machine learning = modeling, tuning-free algorithms, and applications /
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(書目-電子資源)
Elements of dimensionality reduction and manifold learning
by:
(書目-電子資源)
主題
Computer algorithms.
Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
Data Analysis and Big Data.
Relational databases.
Computational Physics and Simulations.
Numerical Analysis.
Data mining.
Artificial Intelligence (incl. Robotics)
Statistical Theory and Methods.
Digital and Analog Signal Processing.
Stata.
Health Informatics.
R (Computer program language)
Dimension reduction (Statistics)
Signal processing- Statistical methods.
Neural networks (Computer science)
Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy.
Data Mining and Knowledge Discovery.
Computational Intelligence.
Machine learning- Mathematics.
Probability Theory.
Artificial Intelligence.
Machine Learning.
Statistics in Business, Management, Economics, Finance, Insurance.
Machine learning- Statistical methods.
Computer Science.
Probability and Statistics in Computer Science.
Deep learning (Machine learning)
Bayesian statistical decision theory.
Statistical Software.
Statistical Learning.
Bayesian Inference.
處理中
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