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#CurveFitting

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Richard Creamer<p>Here is a 2019 tutorial project I did for people new to <a href="https://c.im/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MachineLearning</span></a> and who may have rusty Calculus skills (which I tried to gently re-introduce).</p><p>This simplified intro covers some <a href="https://c.im/tags/ML" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ML</span></a> concepts from the perspective of least-squares curve fitting, perhaps a more intuitive topic.</p><p>R source code is included for the 50+ plots and their calculations.</p><p><a href="https://c.im/tags/rstats" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>rstats</span></a> <a href="https://c.im/tags/CurveFitting" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>CurveFitting</span></a></p><p><a href="https://sites.google.com/view/rcreamer/home/techstem/mlintro" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">sites.google.com/view/rcreamer</span><span class="invisible">/home/techstem/mlintro</span></a></p>