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  1. TSNE — scikit-learn 1.8.0 documentation

    2 - 0.8. Angle less than 0.2 has quickly increasing...sklearn.manifold. TSNE ( n_components = 2 , * , perplexity = 30.0 , early_exaggeration...
    scikit-learn.org/stable/modules/generated/sklearn.manifold.TSNE.html
    Mon Jan 26 14:16:29 GMT 2026
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  2. FeatureHasher — scikit-learn 1.8.0 docume...

    'cat' : 2 , 'elephant' : 4 },{ 'dog' : 2 , 'run'...0., 0., 0., 0., 0., 2.], [ 0., 0., 0., -2., -5., 0., 0., 0., 0.,...
    scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.FeatureHasher.html
    Mon Jan 26 11:09:12 GMT 2026
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  3. Detection error tradeoff (DET) curve — sc...

    n_features = 2 , n_redundant = 0 , n_informative = 2 , random_state...ax_det ] = plt . subplots ( 1 , 2 , figsize = ( 11 , 5 )) ax_roc...
    scikit-learn.org/stable/auto_examples/model_selection/plot_det.html
    Mon Jan 26 11:09:14 GMT 2026
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  4. 아카이브

    2 11.1 11.0 10.3 10.2 10.1 10.0 9.4 9.3 9.2 9.1 9.0 8.0...I/F Doc 11.2 11.1 11.0 10.3 10.2 10.1 10.0 9.4 9.3 9.2 9.1 9.0 8.0...
    fess.codelibs.org/ko/archives.html
    Sun Jan 25 02:50:32 GMT 2026
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  5. Optimizing GPU accelerated VMs with KubeVirt - ...

    GPU(column) bandwidth (GB/s) 0 1 2 3 4 5 6 7 0 12.61 12.52 15.46...NUMA node: 1 Thread of device 2 running on CPU: 152, NUMA node:...
    developer.ibm.com/articles/gpu-vms-kubevirt-numa-nodes/
    Mon Jan 26 12:25:39 GMT 2026
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  6. Kernel — scikit-learn 1.8.0 documentation

    length_scale = 2.0 ) >>> X = np . array ([[ 1 , 2 ], [ 3 ,..., X if Y is None else Y ) ** 2 ... def diag ( self , X ): ......
    scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.Kernel.html
    Mon Jan 26 14:16:30 GMT 2026
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  7. Post-tuning the decision threshold for cost-sen...

    (2) in Elkan’s paper [ 2 ] . import numpy as...metric" , ) axs [ 2 ] . legend () axs [ 2 ] . set_xlabel ( "Decision...
    scikit-learn.org/stable/auto_examples/model_selection/plot_cost_sensitive_learning.html
    Mon Jan 26 11:09:12 GMT 2026
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  8. Get started with machine learning - IBM Developer

    time to complete Approximately 2 hours. Learning objectives Upon...21 May 2021 Time to complete: 2 hours Legend Like Save Previous...
    developer.ibm.com/learningpaths/learning-path-machine-learning-for-developers
    Mon Jan 26 12:04:25 GMT 2026
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  9. Feature discretization — scikit-learn 1.8...

    n_features = 2 , n_redundant = 0 , n_informative = 2 , random_state...GradientBoostingClas: 0.84 SVC: 0.84 dataset 2 --------- LogisticRegression:...
    scikit-learn.org/stable/auto_examples/preprocessing/plot_discretization_classification.html
    Mon Jan 26 11:09:12 GMT 2026
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  10. SVM Tie Breaking Example — scikit-learn 1...

    2 ), ( 1 , 2 )] line = np . linspace...fig , sub = plt . subplots ( 2 , 1 , figsize = ( 5 , 8 )) titles...
    scikit-learn.org/stable/auto_examples/svm/plot_svm_tie_breaking.html
    Mon Jan 26 11:09:17 GMT 2026
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