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Major advances in this field can result from advances in learning algorithms (such as deep learning), computer hardware, and, less-intuitively, the availability of high-quality training datasets. [1] High-quality labeled training datasets for supervised and semi-supervised machine learning algorithms are usually difficult and expensive to ...
This is a template to generate links to Netflix. Template parameters [Edit template data] Parameter Description Type Status Title number id 1 Number of the Netflix title, taken from the numbers at the end of its Netflix URL. Default Wikidata property P1874 Number optional Title name title 2 Name of the production, which may include the year made (in parentheses). Default {{PAGENAMEBASE ...
Template documentation For external links to titles on Netflix, see Template:Netflix title . This template's initial visibility currently defaults to autocollapse , meaning that if there is another collapsible item on the page (a navbox, sidebar , or table with the collapsible attribute ), it is hidden apart from its title bar; if not, it is ...
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]
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To change this template's initial visibility, the |state= parameter may be used: {{Netflix original animated series and films | state = collapsed}} will show the template collapsed, i.e. hidden apart from its title bar. {{Netflix original animated series and films | state = expanded}} will show the template expanded, i.e. fully visible.
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.
[[Category:Netflix templates]] to the <includeonly> section at the bottom of that page. Otherwise, add <noinclude>[[Category:Netflix templates]]</noinclude> to the end of the template code, making sure it starts on the same line as the code's last character.