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  1. The open source ecosystem of watsonx

    training jobs for models with over 10 billion parameters over Ethernet-based...such as transformers (which has 100k+ GitHub stars!), accelerate,...
    developer.ibm.com/articles/awb-the-open-source-ecosystem-of-watsonx/
    Tue Mar 24 02:00:56 UTC 2026
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  2. Create an intelligent search app using Watson D...

    version : '2019-01-01' , authenticator }); Copy code...
    developer.ibm.com/tutorials/create-an-intelligent-search-app-using-watson-discovery-ui-components/
    Tue Mar 24 02:05:50 UTC 2026
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  3. Using the Watson Natural Language Understanding...

    "text_units" : 1 , "text_characters" : 89 , "features" : 0 }, "syntax"...i/v1/analyze ? version =2019-01-27' \ --header "Authorization:...
    developer.ibm.com/articles/a-deeper-look-at-the-syntax-api-feature-within-watson-nlu/
    Tue Mar 24 02:04:43 UTC 2026
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  4. Granite models - Articles - IBM Developer

    08 October 2025 Article Granite...stability in model performance. 01 August 2025 Article Is your AI...
    developer.ibm.com/components/granite-models/articles/
    Tue Mar 24 02:08:09 UTC 2026
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  5. Add Watson Discovery skills to your watsonx Ass...

    Use the Watson Discovery search skill to help users find information from within the dialog of a chatbot.
    developer.ibm.com/tutorials/add-watson-discovery-skills-to-your-watson-assistant-chatbot/
    Tue Mar 24 02:05:09 UTC 2026
      16.4K bytes
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  6. Species distribution modeling — scikit-learn 1....

    OneClassSVM ( nu = 0.1 , kernel = "rbf" , gamma = 0.5 ) clf . fit...randint ( low = 0 , high = data . Ny , size = 10000 ), np . random...
    scikit-learn.org/stable/auto_examples/applications/plot_species_distribution_modeling.html
    Mon Mar 23 20:39:20 UTC 2026
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  7. Recursive feature elimination with cross-valida...

    n_repeated = 0 , n_classes = 8 , n_clusters_per_class = 1 , class_sep...class_sep = 0.8 , random_state = 0 , ) Model training and selection...
    scikit-learn.org/stable/auto_examples/feature_selection/plot_rfe_with_cross_validation.html
    Mon Mar 23 20:39:20 UTC 2026
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  8. Gaussian process classification (GPC) on iris d...

    h = 0.02 # step size in the mesh kernel = 1.0 * RBF ([ 1.0 ])...( X , y ) kernel = 1.0 * RBF ([ 1.0 , 1.0 ]) gpc_rbf_anisotropic...
    scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpc_iris.html
    Mon Mar 23 20:39:20 UTC 2026
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  9. Feature importances with a forest of trees — sc...

    be [{0: 1, 1: 1}, {0: 1, 1: 5}, {0: 1, 1: 1}, {0: 1, 1: 1}] instead...be [{0: 1, 1: 1}, {0: 1, 1: 5}, {0: 1, 1: 1}, {0: 1, 1: 1}] instead...
    scikit-learn.org/stable/auto_examples/ensemble/plot_forest_importances.html
    Mon Mar 23 20:39:20 UTC 2026
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  10. Hashing feature transformation using Totally Ra...

    ( factor = 0.5 , random_state = 0 , noise = 0.05 ) # use RandomTreesEmbedding...y_max]. h = 0.01 x_min , x_max = X [:, 0 ] . min () - 0.5 , X [:,...
    scikit-learn.org/stable/auto_examples/ensemble/plot_random_forest_embedding.html
    Mon Mar 23 20:39:22 UTC 2026
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