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<html lang="en" style="overflow: auto; height: auto;">
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<title>UGBA 198: Machine Learning for Business Decisions</title>
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<h1 class="header-title col-md-3 col-xs-3"><a href="https://ugba198.org">UGBA198</a></h1>
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<li class="hidden-xxs"><a href="https://docs.google.com/document/d/1CxIa2fsrPBvTG2B1HCTdBmm_OzanVM9febXDUGe3W2Q/edit?usp=sharing">Syllabus</a></li>
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<p class="head-subtitle">UGBA 198 at UC Berkeley</p>
<h1 class="head-title">Machine Learning for Business Decisions</h1>
<p class="head-subtitle">Lectures: Wednesdays 6-8 PM in Cheit C320</p>
</div>
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</section>
<section class="highlighted-text week-overview wrap-container" data-number="0">
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<h3 class="highlighted-subtitle">Week 8 Overview</h3>
<h2 class="highlighted-title">Convolutional Neural Networks </h2>
<p class="highlighted-byline">Wednesday, April 8 - Wednesday, April 15</p>
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<!--<li><a href="http://www.ugba198.com/files/hw/hw1.pdf">Homework 02: LASSO and Ridge</a></li>-->
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<h2 class="standard-title" id="notes">Lecture Notes</h2>
<p>See <a href="https://docs.google.com/document/d/1CxIa2fsrPBvTG2B1HCTdBmm_OzanVM9febXDUGe3W2Q/edit">Syllabus</a> for more information. You can find a list of week-by-week topics.</p>
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<li><a href="./files/notes/lec1.pdf">LEC 1: What is AI/ML</a></li>
<li><a href="./files/notes/lec2.pdf">LEC 2: OLS, Ridge, Lasso Regression</a></li>
<li><a href="./files/notes/lec4.pdf">LEC 4: Logistic Regression </a></li>
<li><a href="./files/notes/lec5.pdf">LEC 5: Dimensionality Reduction and PCA </a></li>
<li><a href="./files/notes/lec6.pdf">LEC 6: Classification and SVMs </a></li>
<li><a href="./files/notes/lec7.pdf">LEC 6: Decision Trees and Random Forests</a></li>
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<li><a href="./files/hw/ugba198-lec2-regression.html">Homework 1: Regression</a></li>
<li><a href="./files/hw/ugba198-lec6-PCA.html">Homework 6: PCA</a></li>
<li><a href="./files/hw/ugba198-lec7-DecisionTrees.html">Homework 7: Decision Trees</a></li>
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