This link has been bookmarked by 177 people . It was first bookmarked on 23 May 2006, by YIQUN HU.
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13 Oct 16
Tao Jonesin"The following links point to a set of tutorials on many aspects of statistical data mining, including the foundations of probability, the foundations of statistical data analysis, and most of the classic machine learning and data mining algorithms.
These include classification algorithms such as decision trees, neural nets, Bayesian classifiers, Support Vector Machines and cased-based (aka non-parametric) learning. They include regression algorithms such as multivariate polynomial regression, MARS, Locally Weighted Regression, GMDH and neural nets. And they include other data mining operations such as clustering (mixture models, k-means and hierarchical), Bayesian networks and Reinforcement Learning. "slides statistics tutorial datamining reference mathematics tutorials data-mining machine-learning
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Stephan PauknerNice idea, but not really useful. This is a collection of PDF slides, and their content is not really that accessible (ugly formula rendering).
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Maximum Likelihood Estimation
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Gaussian Bayes Classifiers
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Cross-Validation
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Neural Networks
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Bayesian Networks
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Gaussian Mixture Models
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Hidden Markov Models
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Support Vector Machines
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Markov Decision Processes
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Time Series Methods
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Ni ViTutorial Slides by Andrew Moore (CMU, Google). The following links point to a set of tutorials on many aspects of statistical data mining, including the foundations of probability, the foundations of statistical data analysis, and most of the classic mach
statistics tutorials reference algorithm datamining machinelearning delicious
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The following links point to a set of tutorials on many aspects of statistical data mining, including the foundations of probability, the foundations of statistical data analysis, and most of the classic machine learning and data mining algorithms.
These include classification algorithms such as decision trees, neural nets, Bayesian classifiers, Support Vector Machines and cased-based (aka non-parametric) learning. They include regression algorithms such as multivariate polynomial regression, MARS, Locally Weighted Regression, GMDH and neural nets. And they include other data mining operations such as clustering (mixture models, k-means and hierarchical), Bayesian networks and Reinforcement Learning.
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Chris Smithlots of AI algorithms from neural networks to genetic algorithms to minmax alpha beta pruning, etc
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zarakin nikarazThe following links point to a set of tutorials by Andrew Moore on many aspects of statistical data mining, including the foundations of probability, the foundations of statistical data analysis, and most of the classic machine learning and data mining al
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London Tokyotutorials on many aspects of statistical data mining, including probability, statistical data analysis, data mining algorithms. decision trees, neural nets, Bayesian classifiers, Support Vector Machines and cased-based (aka non-parametric) learning.
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30 Nov 07
Bruno MartinsThe following links point to a set of tutorials on many aspects of statistical data mining, including the foundations of probability, the foundations of statistical data analysis, and most of the classic machine learning and data mining algorithms.
algorithms data datamining machinelearning probability statistics tutorial tutorials
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29 Nov 07
Olifante *"The following links point to a set of tutorials on many aspects of statistical data mining, including the foundations of probability, the foundations of statistical data analysis, and most of the classic machine learning and data mining algorithms."
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28 Nov 07
"The following links point to a set of tutorials on many aspects of statistical data mining, including the foundations of probability, the foundations of statistical data analysis, and most of the classic machine learning and data mining algorithms."
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27 Nov 07
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n dThe following links point to a set of tutorials on many aspects of statistical data mining, including the foundations of probability, the foundations of statistical data analysis, and most of the classic machine learning and data mining algorithms.
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mandarineThe following links point to a set of tutorials on many aspects of statistical data mining, including the foundations of probability, the foundations of statistical data analysis, and most of the classic machine learning and data mining algorithms.
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Marqs ShortA set of tutorials on many aspects of statistical data mining, including the foundations of probability, the foundations of statistical data analysis, and most of the classic machine learning and data mining algorithms.
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tsuyoshi inoue統計的データマイニングについて、隠れマルコフ連鎖など、いろいろな話題について書いてある。必要になったら思い出すこと。
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The following links point to a set of tutorials on many aspects of statistical data mining, including the foundations of probability, the foundations of statistical data analysis, and most of the classic machine learning
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