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  1. 7.6. Random Projection — scikit-learn 1.7.0 doc...

    The sklearn.random_projection module implements a simple and computationally efficient way to reduce the dimensionality of the data by trading a controlled amount of accuracy (as additional varianc...
    scikit-learn.org/stable/modules/random_projection.html
    Tue Jul 08 15:58:48 UTC 2025
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  2. Elasticsearch retrievers architecture and use-c...

    which just bring backs all documents: Pretty straightforward, right?...types: knn - return the top documents from a kNN (k Nearest Neighbor)...
    www.elastic.co/search-labs/blog/elasticsearch-retrievers-ga-8.16.0
    Wed Jul 09 00:58:39 UTC 2025
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  3. Kibana Dashboard | Elastic

    Try free Dive into the documentation, including a guide for creating...all the way to a granular document‑level inspection. From data...
    www.elastic.co/kibana/kibana-dashboard
    Wed Jul 09 00:39:10 UTC 2025
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  4. Forecasting of CO2 level on Mona Loa dataset us...

    Documentation for GaussianProcessRegre...
    scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpr_co2.html
    Tue Jul 08 15:58:49 UTC 2025
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  5. Support Vector Regression (SVR) using linear an...

    Toy example of 1D regression using linear, polynomial and RBF kernels. Generate sample data: Fit regression model: Look at the results: Total running time of the script:(0 minutes 5.393 seconds) La...
    scikit-learn.org/stable/auto_examples/svm/plot_svm_regression.html
    Tue Jul 08 15:58:49 UTC 2025
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  6. Cross-cluster search | Elastic Docs

    the document came from the local cluster. This document came...identified as "(local)". This document’s _index parameter doesn’t...
    www.elastic.co/docs/solutions/search/cross-cluster-search
    Tue Jul 08 13:43:03 UTC 2025
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  7. Gaussian Processes regression: basic introducto...

    A simple one-dimensional regression example computed in two different ways: A noise-free case, A noisy case with known noise-level per datapoint. In both cases, the kernel’s parameters are estimate...
    scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpr_noisy_targets.html
    Tue Jul 08 15:58:47 UTC 2025
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  8. MNIST classification using multinomial logistic...

    Here we fit a multinomial logistic regression with L1 penalty on a subset of the MNIST digits classification task. We use the SAGA algorithm for this purpose: this a solver that is fast when the nu...
    scikit-learn.org/stable/auto_examples/linear_model/plot_sparse_logistic_regression_mnist.html
    Tue Jul 08 15:58:49 UTC 2025
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  9. Comparison of the K-Means and MiniBatchKMeans c...

    We want to compare the performance of the MiniBatchKMeans and KMeans: the MiniBatchKMeans is faster, but gives slightly different results (see Mini Batch K-Means). We will cluster a set of data, fi...
    scikit-learn.org/stable/auto_examples/cluster/plot_mini_batch_kmeans.html
    Tue Jul 08 15:58:50 UTC 2025
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  10. Hierarchical clustering: structured vs unstruct...

    Example builds a swiss roll dataset and runs hierarchical clustering on their position. For more information, see Hierarchical clustering. In a first step, the hierarchical clustering is performed ...
    scikit-learn.org/stable/auto_examples/cluster/plot_ward_structured_vs_unstructured.html
    Tue Jul 08 15:58:49 UTC 2025
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