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  1. LLM Observability with Elastic: Azure OpenAI Pa...

    please refer to the Azure documentation . By using advanced logging,...to block or flag. And the document ingested in Elastic would...
    www.elastic.co/observability-labs/blog/llm-observability-azure-openai-v2
    Tue Nov 12 10:08:44 UTC 2024
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  2. 'Lot of demoralized people': Ghost jobs wreakin...

    A collaborative document circulating online reveals...data company listed in the document, denied posting such listings....
    www.sfgate.com/tech/article/ghost-jobs-california-tech-industry-19871249.php
    Fri Nov 01 01:16:57 UTC 2024
      412.5K bytes
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  3. inplace_csr_row_normalize_l2 — scikit-learn 1.5...

    Skip to main content Back to top Ctrl + K GitHub inplace_csr_row_normalize_l2 # sklearn.utils.sparsefuncs_fast. inpla...
    scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs_fast.inplace_csr_row_normaliz...
    Sat Nov 23 04:49:14 UTC 2024
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  4. single_source_shortest_path_length — scikit-lea...

    Skip to main content Back to top Ctrl + K GitHub single_source_shortest_path_length # sklearn.utils.graph. single_sou...
    scikit-learn.org/stable/modules/generated/sklearn.utils.graph.single_source_shortest_path_length....
    Sat Nov 23 04:49:15 UTC 2024
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  5. Analyzing online search relevance metrics with ...

    single user searching for documentation on elastic.co (note that...Query ID: qid-001 Position: 2 Document ID: https://www.elastic.c...
    www.elastic.co/blog/analyzing-online-search-relevance-metrics-with-the-elastic-stack
    Sun Nov 24 00:16:08 UTC 2024
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  6. Feature agglomeration vs. univariate selection ...

    This example compares 2 dimensionality reduction strategies: univariate feature selection with Anova, feature agglomeration with Ward hierarchical clustering. Both methods are compared in a regress...
    scikit-learn.org/stable/auto_examples/cluster/plot_feature_agglomeration_vs_univariate_selection....
    Sat Nov 23 04:49:15 UTC 2024
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  7. Color Quantization using K-Means — scikit-learn...

    Performs a pixel-wise Vector Quantization (VQ) of an image of the summer palace (China), reducing the number of colors required to show the image from 96,615 unique colors to 64, while preserving t...
    scikit-learn.org/stable/auto_examples/cluster/plot_color_quantization.html
    Sat Nov 23 04:49:15 UTC 2024
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  8. Multi-output Decision Tree Regression — scikit-...

    An example to illustrate multi-output regression with decision tree. The decision trees is used to predict simultaneously the noisy x and y observations of a circle given a single underlying featur...
    scikit-learn.org/stable/auto_examples/tree/plot_tree_regression_multioutput.html
    Sat Nov 23 04:49:14 UTC 2024
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  9. Comparison of kernel ridge and Gaussian process...

    This example illustrates differences between a kernel ridge regression and a Gaussian process regression. Both kernel ridge regression and Gaussian process regression are using a so-called “kernel ...
    scikit-learn.org/stable/auto_examples/gaussian_process/plot_compare_gpr_krr.html
    Sat Nov 23 04:49:14 UTC 2024
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  10. Regularization path of L1- Logistic Regression ...

    Train l1-penalized logistic regression models on a binary classification problem derived from the Iris dataset. The models are ordered from strongest regularized to least regularized. The 4 coeffic...
    scikit-learn.org/stable/auto_examples/linear_model/plot_logistic_path.html
    Sat Nov 23 04:49:15 UTC 2024
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