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Netflix provided a training data set of 100,480,507 ratings that 480,189 users gave to 17,770 movies. Each training rating is a quadruplet of the form <user, movie, date of grade, grade> . The user and movie fields are integer IDs, while grades are from 1 to 5 ( integer ) stars.
Chemical analysis of wines grown in the same region in Italy but derived from three different cultivars. 13 properties of each wine are given 178 Text Classification, regression 1991 [196] [197] M. Forina et al. Combined Cycle Power Plant Data Set Data from various sensors within a power plant running for 6 years. None 9568 Text Regression 2014
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 past 24 hours have been awash in headlines about Netflix’s What We Watched report: an information dump that many analysts considered the most transparent accounting of user data that the ...
Netflix said the data revealed the staying power of sequels, such as the second season of Ginny & Georgia, You season 4 (440,600,000 hours) and Outer Banks season 3 (402,500,000).
Netflix says it’s heard the complaints about how it “cherry picks” the self-reported data it releases about content viewed on its platform. So the company has announced a major expansion of ...
ImageNet is a large visual database envisioned by Fei-Fei Li from Stanford University, who realized that the best machine learning algorithms wouldn't work well if the data didn't reflect the real world. [40] For many, ImageNet was the catalyst for the AI boom [41] of the 21st century. 2010: Project: Kaggle Competition
The cold start problem is a well known and well researched problem for recommender systems.Recommender systems form a specific type of information filtering (IF) technique that attempts to present information items (e-commerce, films, music, books, news, images, web pages) that are likely of interest to the user.