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  2. Ion (serialization format) - Wikipedia

    en.wikipedia.org/wiki/Ion_(Serialization_format)

    // comments are allowed in Ion files using the double forward slash {key: "value", // key here is a symbol, it can also be a string as in JSON nums: 1 _000_000, // equivalent to 1000000, use of underscores with numbers is more readable 'A float value': 31415e-4, // key is a value that contains spaces "An int value":. int, annotated: age:: 35, // age here is the annotation to number 35 lists ...

  3. List of datasets for machine-learning research - Wikipedia

    en.wikipedia.org/wiki/List_of_datasets_for...

    A dataset for NLP and climate change media researchers The dataset is made up of a number of data artifacts (JSON, JSONL & CSV text files & SQLite database) Climate news DB, Project's GitHub repository [394] ADGEfficiency Climatext Climatext is a dataset for sentence-based climate change topic detection. HF dataset [395] University of Zurich ...

  4. Common Crawl - Wikipedia

    en.wikipedia.org/wiki/Common_Crawl

    Researchers in other countries have made use of techniques such as shuffling sentences or referencing the Common Crawl dataset to work around copyright law in other legal jurisdictions. [ 7 ] English is the primary language for 46% of documents in the March 2023 version of the Common Crawl dataset.

  5. List of datasets in computer vision and image processing

    en.wikipedia.org/wiki/List_of_datasets_in...

    RAWPED is a dataset for detection of pedestrians in the context of railways. The dataset is labeled box-wise. 26000 Images Object recognition and classification 2020 [70] [71] Tugce Toprak, Burak Belenlioglu, Burak Aydın, Cuneyt Guzelis, M. Alper Selver OSDaR23 OSDaR23 is a multi-sensory dataset for detection of objects in the context of railways.

  6. Amazon DynamoDB - Wikipedia

    en.wikipedia.org/wiki/Amazon_DynamoDB

    Amazon DynamoDB is a managed NoSQL database service provided by Amazon Web Services (AWS). It supports key-value and document data structures and is designed to handle a wide range of applications requiring scalability and performance.

  7. Timeline of Amazon Web Services - Wikipedia

    en.wikipedia.org/wiki/Timeline_of_Amazon_Web...

    Amazon Kendra, an intelligent enterprise search service powered by machine learning [210] [211] 2020 June 24 Product Amazon Honeycode, a no-code platform for web and mobile application development [212] 2020 July 9 Product AWS Copilot [213] 2020 September 30 Product (database) Amazon Timestream, a time series database [214] 2020 December 1 Product

  8. Amazon Redshift - Wikipedia

    en.wikipedia.org/wiki/Amazon_Redshift

    Amazon Redshift is a data warehouse product which forms part of the larger cloud-computing platform Amazon Web Services. [1] It is built on top of technology from the massive parallel processing (MPP) data warehouse company ParAccel (later acquired by Actian ), [ 2 ] to handle large scale data sets and database migrations . [ 3 ]

  9. Amazon SageMaker - Wikipedia

    en.wikipedia.org/wiki/Amazon_SageMaker

    Amazon SageMaker AI 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 .