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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. Amazon Product Advertising API - Wikipedia

    en.wikipedia.org/wiki/Amazon_Product_Advertising_API

    Amazon's Product Advertising API, formerly Amazon Associates Web Service (A2S) and before that known as Amazon E-Commerce Service (ECS), is a web service and application programming interface (API) that gives application programmers access to Amazon's product catalog data.

  4. Kaggle - Wikipedia

    en.wikipedia.org/wiki/Kaggle

    Kaggle is a data science competition platform and online community for data scientists and machine learning practitioners under Google LLC.Kaggle enables users to find and publish datasets, explore and build models in a web-based data science environment, work with other data scientists and machine learning engineers, and enter competitions to solve data science challenges.

  5. Product data management - Wikipedia

    en.wikipedia.org/wiki/Product_data_management

    The data tracked usually involves the technical specifications of the product, specifications for manufacture and development, and the types of materials that will be required to produce goods. The use of product data management allows a company to track the various costs associated with the creation and launch of a product. Product data ...

  6. Product data record - Wikipedia

    en.wikipedia.org/wiki/Product_data_record

    A product record (or product data record) is the data associated with the entire lifecycle of a product from its conception, through design and manufacture, to service and disposal. It includes all the information used to develop, describe, manage and communicate information about products and critical linkage between relevant data elements.

  7. 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 .

  8. Amazon Lab126 - Wikipedia

    en.wikipedia.org/wiki/Amazon_Lab126

    Amazon Lab126 [4] (sometimes known as Lab126) is an American research and development and computer hardware company owned by Amazon.com. [5] It was founded in 2004 by Gregg Zehr, [ 6 ] previously Vice President of Hardware Engineering at Palm , and is based in Sunnyvale, California . [ 7 ]

  9. 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.