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  2. Accumulated local effects - Wikipedia

    en.wikipedia.org/wiki/Accumulated_local_effects

    Download as PDF; Printable version; In other projects Wikidata item; Appearance. move to sidebar hide. Accumulated local effects (ALE) is a machine learning ...

  3. List of artificial intelligence projects - Wikipedia

    en.wikipedia.org/wiki/List_of_artificial...

    Blue Brain Project, an attempt to create a synthetic brain by reverse-engineering the mammalian brain down to the molecular level. [1] Google Brain, a deep learning project part of Google X attempting to have intelligence similar or equal to human-level. [2] Human Brain Project, ten-year scientific research project, based on exascale ...

  4. Google Analytics - Wikipedia

    en.wikipedia.org/wiki/Google_Analytics

    Download as PDF; Printable version; In other projects ... In other projects Wikimedia Commons; ... Google Analytics is a web analytics service offered by Google that ...

  5. Data Version Control (software) - Wikipedia

    en.wikipedia.org/wiki/Data_Version_Control...

    There are several open source projects that provide similar data version control capabilities to DVC, [52] such as: Git LFS, Dolt, Nessie, and lakeFS. These projects vary in their fit to the different needs of data engineers and data scientists such as: scalability, supported file formats, support in tabular data and unstructured data, volume ...

  6. Generative artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Generative_AI

    Generative artificial intelligence (generative AI, GenAI, [1] or GAI) is a subset of artificial intelligence that uses generative models to produce text, images, videos, or other forms of data.

  7. Feature engineering - Wikipedia

    en.wikipedia.org/wiki/Feature_engineering

    Feature engineering in machine learning and statistical modeling involves selecting, creating, transforming, and extracting data features. Key components include feature creation from existing data, transforming and imputing missing or invalid features, reducing data dimensionality through methods like Principal Components Analysis (PCA), Independent Component Analysis (ICA), and Linear ...

  8. Bootstrapping (statistics) - Wikipedia

    en.wikipedia.org/wiki/Bootstrapping_(statistics)

    Download QR code; Print/export Download as PDF; Printable version; In other projects Wikidata item; Appearance. move to sidebar hide Bootstrapping is a procedure for ...

  9. k-means clustering - Wikipedia

    en.wikipedia.org/wiki/K-means_clustering

    k-means clustering is a method of vector quantization, originally from signal processing, that aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean (cluster centers or cluster centroid), serving as a prototype of the cluster.