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

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

    Amazon reviews US product reviews from Amazon.com. None. 233.1 million Text Classification, sentiment analysis 2015 (2018) [6] [7] McAuley et al. OpinRank Review Dataset Reviews of cars and hotels from Edmunds.com and TripAdvisor respectively. None. 42,230 / ~259,000 respectively Text Sentiment analysis, clustering 2011 [8] [9] K. Ganesan et al ...

  3. BLOOM (language model) - Wikipedia

    en.wikipedia.org/wiki/BLOOM_(language_model)

    BigScience Large Open-science Open-access Multilingual Language Model (BLOOM) [1] [2] is a 176-billion-parameter transformer-based autoregressive large language model (LLM). The model, as well as the code base and the data used to train it, are distributed under free licences. [3]

  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. Microsoft and Amazon are using performance reviews to decide ...

    www.aol.com/finance/microsoft-amazon-using...

    Amazon has also been doing the same: Before laying off 27,000 workers between 2022 and 2023, the employer put a large number of employees on performance improvement plans (PIPs). Then the firings ...

  6. 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 .

  7. ML.NET - Wikipedia

    en.wikipedia.org/wiki/ML.NET

    ML.NET is a free software machine learning library for the C# and F# programming languages. [4] [5] [6] It also supports Python models when used together with NimbusML.The preview release of ML.NET included transforms for feature engineering like n-gram creation, and learners to handle binary classification, multi-class classification, and regression tasks. [7]

  8. Recommender system - Wikipedia

    en.wikipedia.org/wiki/Recommender_system

    It is a fairly modern technique inspired by the growing amount of textual information. For application in recommendation system, a common case is the Amazon customer review. Amazon will analyze the feedbacks comments from each customer and report relevant data to other customers for reference.

  9. Amazon (company) - Wikipedia

    en.wikipedia.org/wiki/Amazon_(company)

    Amazon.com, Inc., [1] doing business as Amazon (/ ˈ æ m ə z ɒ n / ⓘ, AM-ə-zon; UK also / ˈ æ m ə z ə n /, AM-ə-zən), is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence. [5]