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  2. Module:Location map/data/Sri Lanka - Wikipedia

    en.wikipedia.org/.../data/Sri_Lanka

    name = Sri Lanka Name used in the default map caption; image = Sri Lanka adm-2 location map.svg The default map image, without "Image:" or "File:" image1 = Sri Lanka rel-2 location map.svg An alternative map image, usually a relief map, which can be displayed via the relief or AlternativeMap parameters; top = 10.2 Latitude at top edge of map ...

  3. List of programming languages for artificial intelligence

    en.wikipedia.org/wiki/List_of_programming...

    C# can be used to develop high level machine learning models using Microsoft’s .NET suite. ML.NET was developed to aid integration with existing .NET projects, simplifying the process for existing software using the .NET platform. Smalltalk has been used extensively for simulations, neural networks, machine learning, and genetic algorithms.

  4. Dask (software) - Wikipedia

    en.wikipedia.org/wiki/Dask_(software)

    Dask is an open-source Python library for parallel computing.Dask [1] scales Python code from multi-core local machines to large distributed clusters in the cloud. Dask provides a familiar user interface by mirroring the APIs of other libraries in the PyData ecosystem including: Pandas, scikit-learn and NumPy.

  5. Artificial Intelligence: A Modern Approach - Wikipedia

    en.wikipedia.org/wiki/Artificial_Intelligence:_A...

    AIMA gives detailed information about the working of algorithms in AI. The book's chapters span from classical AI topics like searching algorithms and first-order logic, propositional logic and probabilistic reasoning to advanced topics such as multi-agent systems, constraint satisfaction problems, optimization problems, artificial neural networks, deep learning, reinforcement learning, and ...

  6. 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 ...

  7. Raavana 1 - Wikipedia

    en.wikipedia.org/wiki/Raavana_1

    The satellite was designed in Japan. It had a volume of about 1000 cubic centimetre and a mass of about 1.1 kg. [6] The lifespan of the satellite was about one and half years. [7] The satellite took images of Sri Lanka and other countries near Sri Lanka. It used magnetic torquers to reduce its angular velocity. [7]

  8. Generative topographic map - Wikipedia

    en.wikipedia.org/wiki/Generative_topographic_map

    Generative topographic map (GTM) is a machine learning method that is a probabilistic counterpart of the self-organizing map (SOM), is probably convergent and does not require a shrinking neighborhood or a decreasing step size.

  9. Self-organizing map - Wikipedia

    en.wikipedia.org/wiki/Self-organizing_map

    A self-organizing map (SOM) or self-organizing feature map (SOFM) is an unsupervised machine learning technique used to produce a low-dimensional (typically two-dimensional) representation of a higher-dimensional data set while preserving the topological structure of the data.