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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.
Although they do not need to be labeled, high-quality datasets for unsupervised learning can also be difficult and costly to produce. [2] [3] [4] Many organizations, including governments, publish and share their datasets. The datasets are classified, based on the licenses, as Open data and Non-Open data.
A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [9] [10]For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model. [11]
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.
The following are lists of Netflix original films by year: Lists. List of Netflix original films (2015–2017) List of Netflix original films (2018)
Title Season Genre Release date Hours watched (millions) 1 Squid Game: Season 1 Survival drama 17 September 2021: 1,650.9 2 Stranger Things: Season 4: Science fiction/Horror 27 May 2022: 1,352.09 3 Wednesday: Season 1 Comedy Horror 23 November 2022: 1,237.15 4 Dahmer – Monster: The Jeffrey Dahmer Story: Limited Series Horror drama 21 ...
The main academic full-text databases are open archives or link-resolution services, although others operate under different models such as mirroring or hybrid publishers. . Such services typically provide access to full text and full-text search, but also metadata about items for which no full text is availa
A number of privacy issues arose around the dataset offered by Netflix for the Netflix Prize competition. Although the data sets were anonymized in order to preserve customer privacy, in 2007 two researchers from the University of Texas were able to identify individual users by matching the data sets with film ratings on the Internet Movie ...