<story><title>Building an AI to predict human age from a blood sample</title><url>https://colekillian.com/post/methylation-age-prediction/</url></story><parent_chain></parent_chain><comment><author>siscia</author><text>When I see work like these it get me the impression that ML hype is way too real.&lt;p&gt;The goodness of the result of a machine learning model like this one should be compared with the goodness of a simple &amp;quot;standard&amp;quot; model like linear regression.&lt;p&gt;Yeah it is kinda cool that we can use 10 lines of TF to spin up huge computation, but I guess that a simple linear regression would have provide results that are at least similar to the one of the neural network.</text></comment>
<story><title>Building an AI to predict human age from a blood sample</title><url>https://colekillian.com/post/methylation-age-prediction/</url></story><parent_chain></parent_chain><comment><author>chewxy</author><text>&amp;gt;Back to the computer science: 470,000+ features sounds nice at first, but is a recipe for overfitting when we only have 700 samples at our disposal.&lt;p&gt;Proceeds to use (1024^2 * 2 + 1024) parameters in the neural network.</text></comment>