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Guido van Rossum. 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 stepped down from the position on 12 July 2018. [ 4][ 5] He remained a member of the Python Steering ...
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 ...
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.
PyTorch is a machine learning library based on the Torch library, [4] [5] [6] used for applications such as computer vision and natural language processing, [7] originally developed by Meta AI and now part of the Linux Foundation umbrella.
Monte Carlo method. Monte Carlo methods, or Monte Carlo experiments, are a broad class of computational algorithms that rely on repeated random sampling to obtain numerical results. The underlying concept is to use randomness to solve problems that might be deterministic in principle. The name comes from the Monte Carlo Casino in Monaco, where ...
Bingo voting. Bingo voting is an electronic voting scheme for transparent, secure, end-to-end auditable elections. It was introduced in 2007 by Jens-Matthias Bohli, Jörn Müller-Quade, and Stefan Röhrich at the Institute of Cryptography and Security (IKS) of the Karlsruhe Institute of Technology (KIT). [1] [2] [3]
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Amazon SageMaker is a cloud-based machine-learning platform that allows the creation, training, and deployment by developers of machine-learning (ML) models on the cloud. [ 1] It can be used to deploy ML models on embedded systems and edge-devices. [ 2][ 3] The platform was launched in November 2017. [ 4]