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<li><a href="./">Introduction to Machine Learning</a></li>
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<li class="chapter" data-level="1" data-path="introduction-to-machine-learning.html"><a href="introduction-to-machine-learning.html"><i class="fa fa-check"></i><b>1</b> Introduction to Machine Learning</a></li>
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<h1><span class="header-section-number">Chapter 2</span> Preface</h1>
<p>This document is a very basic introduction to machine learning.</p>
<div id="goal" class="section level2" number="2.1">
<h2><span class="header-section-number">2.1</span> Goal</h2>
<ul>
<li>Basic Machine Learning Terminologies (pre-reading)</li>
<li>Supervised vs. Unsupervised Learning Algorithms
<ul>
<li>Concepts</li>
<li>Examples</li>
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<li>Over-Fitting, Measuring Performance and Model Tuning
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<li>Overall steps</li>
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<h2><span class="header-section-number">2.2</span> License</h2>
<p>The online version of this book is licensed under the <a href="https://creativecommons.org/licenses/by-nc-sa/4.0/">Creative Commons Attribution-NonCommercial-ShareAlike 4.0</a> International License. You may share, adapt the content and may distribute your contributions under the same license (CC BY-NC-SA 4.0), but you have to give appropriate credit, and cannot use material for the commercial purposes.</p>
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<h2><span class="header-section-number">2.3</span> How to cite</h2>
<p>Karim, ME (2021) “Introduction to Machine Learning”, URL: <a href="https://ehsanx.github.io/intro2ML/">ehsanx.github.io/intro2ML/</a>, (v1.1).</p>
<p>Feel free to <a href="https://ehsank.com/">reach out</a> for any comments, corrections, suggestions.</p>
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