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  2. MLOps - Wikipedia

    en.wikipedia.org/wiki/MLOps

    MLOps is the set of practices at the intersection of Machine Learning, DevOps and Data Engineering. MLOps or ML Ops is a paradigm that aims to deploy and maintain machine learning models in production reliably and efficiently. The word is a compound of "machine learning" and the continuous delivery practice (CI/CD) of DevOps in the software ...

  3. 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. [33] [43] 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. [44]

  4. PyTorch - Wikipedia

    en.wikipedia.org/wiki/PyTorch

    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.

  5. macOS High Sierra - Wikipedia

    en.wikipedia.org/wiki/MacOS_High_Sierra

    In High Sierra, Siri uses a more natural and expressive voice compared to previous versions of Mac OS X. It also uses machine learning to understand the user better. Siri synchronizes information across iOS and Mac devices so the Siri experience is the same regardless of the product being used. [30]

  6. Cognitive computing - Wikipedia

    en.wikipedia.org/wiki/Cognitive_computing

    Cognitive computing refers to technology platforms that, broadly speaking, are based on the scientific disciplines of artificial intelligence and signal processing.These platforms encompass machine learning, reasoning, natural language processing, speech recognition and vision (object recognition), human–computer interaction, dialog and narrative generation, among other technologies.

  7. Keras - Wikipedia

    en.wikipedia.org/wiki/Keras

    Keras allows users to produce deep models on smartphones (iOS and Android), on the web, or on the Java Virtual Machine. [8] It also allows use of distributed training of deep-learning models on clusters of graphics processing units (GPU) and tensor processing units (TPU) .

  8. Weka (software) - Wikipedia

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

    H2O.ai is an open-source data science and machine learning platform; KNIME is a machine learning and data mining software implemented in Java. Massive Online Analysis (MOA) is an open-source project for large scale mining of data streams, also developed at the University of Waikato in New Zealand. Neural Designer is a data mining software based ...

  9. Genera (operating system) - Wikipedia

    en.wikipedia.org/wiki/Genera_(operating_system)

    Genera is a commercial operating system and integrated development environment for Lisp machines created by Symbolics.It is essentially a fork of an earlier operating system originating on the Massachusetts Institute of Technology (MIT) AI Lab's Lisp machines which Symbolics had used in common with Lisp Machines, Inc. (LMI), and Texas Instruments (TI).

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