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  2. Matrix completion - Wikipedia

    en.wikipedia.org/wiki/Matrix_completion

    Alternating minimization represents a widely applicable and empirically successful approach for finding low-rank matrices that best fit the given data. For example, for the problem of low-rank matrix completion, this method is believed to be one of the most accurate and efficient, and formed a major component of the winning entry in the Netflix ...

  3. Netflix Prize - Wikipedia

    en.wikipedia.org/wiki/Netflix_Prize

    The Netflix Prize was an open competition for the best collaborative filtering algorithm to predict user ratings for films, based on previous ratings without any other information about the users or films, i.e. without the users being identified except by numbers assigned for the contest.

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

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

    Covertype Dataset Data for predicting forest cover type strictly from cartographic variables. Many geographical features given. 581,012 Text Classification 1998 [310] [311] J. Blackard et al. Abscisic Acid Signaling Network Dataset Data for a plant signaling network. Goal is to determine set of rules that governs the network. None. 300 Text

  5. The Great Hack - Wikipedia

    en.wikipedia.org/wiki/The_Great_Hack

    The Great Hack is a 2019 documentary film about the Facebook–Cambridge Analytica data scandal, produced and directed by Jehane Noujaim and Karim Amer, both previous documentary Academy Award nominees (The Square, Control Room, Startup.com).

  6. Recommender system - Wikipedia

    en.wikipedia.org/wiki/Recommender_system

    Examples of implicit data collection include the following: Observing the items that a user views in an online store. Analyzing item/user viewing times. [51] Keeping a record of the items that a user purchases online. Obtaining a list of items that a user has listened to or watched on his/her computer.

  7. Data collection - Wikipedia

    en.wikipedia.org/wiki/Data_collection

    Data collection or data gathering is the process of gathering and measuring information on targeted variables in an established system, which then enables one to answer relevant questions and evaluate outcomes. Data collection is a research component in all study fields, including physical and social sciences, humanities, [2] and business ...

  8. Social network analysis software - Wikipedia

    en.wikipedia.org/wiki/Social_network_analysis...

    Python will read in almost any format data file Python has write capability for most data formats Windows, Linux, Mac Open source: Python contains several packages relevant for social network analysis: igraph is a library collection for creating and manipulating graphs and analyzing networks. It is written in C and also exists as Python and R ...

  9. Data curation - Wikipedia

    en.wikipedia.org/wiki/Data_curation

    The user, rather than the database itself, typically initiates data curation and maintains metadata. [8] According to the University of Illinois' Graduate School of Library and Information Science, "Data curation is the active and on-going management of data through its lifecycle of interest and usefulness to scholarship, science, and education; curation activities enable data discovery and ...