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  2. Brian McClendon - Wikipedia

    en.wikipedia.org/wiki/Brian_McClendon

    Brian A McClendon (born 1964) is an American software executive, engineer, and inventor. [ 1] He was a co-founder and angel investor in Keyhole, Inc., a geospatial data visualization company that was purchased by Google in 2004 [ 2][ 3] to produce Google Earth. Keyhole itself was spun off from another company called Intrinsic Graphics, of which ...

  3. Guido van Rossum - Wikipedia

    en.wikipedia.org/wiki/Guido_van_Rossum

    Van Rossum at the 2008 Google I/O Developer's Conference. Van Rossum at the 2006 O'Reilly Open Source Convention (OSCON) Guido van Rossum ( Dutch: [ˈɣido vɑn ˈrɔsʏm, -səm]; born 31 January 1956) is a Dutch programmer. He is the creator of the Python programming language, for which he was the "benevolent dictator for life" (BDFL) until he ...

  4. scikit-learn - Wikipedia

    en.wikipedia.org/wiki/Scikit-learn

    scikit-learn (formerly scikits.learn and also known as sklearn) is a free and open-source machine learning library for the Python programming language. [3] It features various classification, regression and clustering algorithms including support-vector machines, random forests, gradient boosting, k-means and DBSCAN, and is designed to interoperate with the Python numerical and scientific ...

  5. TensorFlow - Wikipedia

    en.wikipedia.org/wiki/TensorFlow

    TensorFlow serves as a core platform and library for machine learning. TensorFlow's APIs use Keras to allow users to make their own machine-learning models. [ 41] In addition to building and training their model, TensorFlow can also help load the data to train the model, and deploy it using TensorFlow Serving.

  6. Random number generation - Wikipedia

    en.wikipedia.org/wiki/Random_number_generation

    Random number generation is a process by which, often by means of a random number generator ( RNG ), a sequence of numbers or symbols that cannot be reasonably predicted better than by random chance is generated. This means that the particular outcome sequence will contain some patterns detectable in hindsight but impossible to foresee.

  7. Google Earth - Wikipedia

    en.wikipedia.org/wiki/Google_Earth

    Google Earth. Google Earth is a computer program that renders a 3D representation of Earth based primarily on satellite imagery. The program maps the Earth by superimposing satellite images, aerial photography, and GIS data onto a 3D globe, allowing users to see cities and landscapes from various angles. Users can explore the globe by entering ...

  8. Machine learning in earth sciences - Wikipedia

    en.wikipedia.org/wiki/Machine_learning_in_earth...

    Machine learning (ML) is a type of artificial intelligence (AI) that enables computer systems to classify, cluster, identify and analyze vast and complex sets of data while eliminating the need for explicit instructions and programming. [1] Earth science is the study of the origin, evolution, and future [2] of the planet Earth.

  9. XGBoost - Wikipedia

    en.wikipedia.org/wiki/XGBoost

    XGBoost. XGBoost[ 2] (eXtreme Gradient Boosting) is an open-source software library which provides a regularizing gradient boosting framework for C++, Java, Python, [ 3] R, [ 4] Julia, [ 5] Perl, [ 6] and Scala. It works on Linux, Microsoft Windows, [ 7] and macOS. [ 8] From the project description, it aims to provide a "Scalable, Portable and ...