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<oembed><version>1.0</version><provider_name>Instituto de Ingenier&#xED;a del Conocimiento</provider_name><provider_url>https://www.iic.uam.es/en</provider_url><author_name>Instituto de Ingenier&#xED;a del Conocimiento</author_name><author_url>https://www.iic.uam.es/en/author/andres/</author_url><title>Prediction - IIC</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content" data-secret="HAswdUQ9SM"&gt;&lt;a href="https://www.iic.uam.es/en/big-data/predictive-analytics/prediction/"&gt;Prediction&lt;/a&gt;&lt;/blockquote&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://www.iic.uam.es/en/big-data/predictive-analytics/prediction/embed/#?secret=HAswdUQ9SM" width="600" height="338" title="&#x201C;Prediction&#x201D; &#x2014; Instituto de Ingenier&#xED;a del Conocimiento" data-secret="HAswdUQ9SM" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"&gt;&lt;/iframe&gt;&lt;script type="text/javascript"&gt;
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</html><description>[vc_row type=&#x201D;full_width_section&#x201D;][vc_column width=&#x201D;1/1&#x2033;][vc_column_text][/vc_column_text][/vc_column][/vc_row][vc_row bg_color=&#x201D;#ffffff&#x201D; top_padding=&#x201D;30&#x2033; bottom_padding=&#x201D;30&#x2033;][vc_column width=&#x201D;1/1&#x2033; delay=&#x201D;900&#x2033;][vc_column_text] What are the Prediction Techniques? The capacity to anticipate to future changes and uncertainties of the business is essential to guarantee success. The aim of Prediction Techniques is to minimise these uncertainties, generating useful forecasts to: [/vc_column_text][/vc_column][/vc_row][vc_row bg_color=&#x201D;#ffffff&#x201D; top_padding=&#x201D;30&#x2033; bottom_padding=&#x201D;20&#x2033;][vc_column width=&#x201D;1/3&#x2033; delay=&#x201D;500&#x2033;][/vc_column][vc_column width=&#x201D;1/3&#x2033;][/vc_column][vc_column width=&#x201D;1/3&#x2033;][/vc_column][/vc_row][vc_row type=&#x201D;full_width_section&#x201D;][vc_column width=&#x201D;1/1&#x2033;][vc_column_text] Prediction Techniques may give us estimations on all these unknown variables, which contributes to a better planning of the business. [/vc_column_text][/vc_column][/vc_row][vc_row bg_color=&#x201D;#eeeeec&#x201D; top_padding=&#x201D;40&#x2033; bottom_padding=&#x201D;40&#x2033;][vc_column width=&#x201D;1/1&#x2033; delay=&#x201D;900&#x2033;][vc_column_text] How do they work? [/vc_column_text][vc_row_inner][vc_column_inner width=&#x201D;1/2&#x2033;][vc_column_text] As alike automatic classification procedures, the ones used for Prediction Techniques are grounded on the scientific discipline known as supervised automatic learning and similar ones, such as the study of temporal series. These techniques analyse historical data of the measures that need to be predicted and, using statistical techniques, relate them to external factors that may influence them. Therefore, a predictive model is built to estimate the most probable values of these measures in the near future. In the way of classification systems, a regression model is a living solution, which can be reloaded constantly with new data as they are obtained, thus readjusting to future trends or unexpected circumstances automatically. [/vc_column_text][/vc_column_inner][vc_column_inner width=&#x201D;1/2&#x2033;][vc_column_text] Likewise, [&hellip;]</description></oembed>
