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week10.html
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<div id='write' class = 'is-node show-fences-line-number'><div class='md-toc' mdtype='toc'><p class="md-toc-content"><span class="md-toc-item md-toc-h1" data-ref="n2"><a class="md-toc-inner" href="#header-n2">17 Large Scale Machine Learning</a></span><span class="md-toc-item md-toc-h2" data-ref="n3"><a class="md-toc-inner" href="#header-n3">17.1 Learning With Large Datasets</a></span><span class="md-toc-item md-toc-h2" data-ref="n4"><a class="md-toc-inner" href="#header-n4">17.2 Stochastic Gradient Descent</a></span><span class="md-toc-item md-toc-h2" data-ref="n5"><a class="md-toc-inner" href="#header-n5">17.3 Mini-Batch Gradient Descent</a></span><span class="md-toc-item md-toc-h2" data-ref="n6"><a class="md-toc-inner" href="#header-n6">17.4 Stochastic Gradient Descent Convergence</a></span><span class="md-toc-item md-toc-h2" data-ref="n7"><a class="md-toc-inner" href="#header-n7">17.5 Online Learning</a></span><span class="md-toc-item md-toc-h2" data-ref="n8"><a class="md-toc-inner" href="#header-n8">17.6 Map Reduce and Data Parallelism</a></span></p></div><h1><a name='header-n2' class='md-header-anchor '></a>17 Large Scale Machine Learning</h1><h2><a name='header-n3' class='md-header-anchor '></a>17.1 Learning With Large Datasets</h2><h2><a name='header-n4' class='md-header-anchor '></a>17.2 Stochastic Gradient Descent</h2><h2><a name='header-n5' class='md-header-anchor '></a>17.3 Mini-Batch Gradient Descent</h2><h2><a name='header-n6' class='md-header-anchor '></a>17.4 Stochastic Gradient Descent Convergence</h2><h2><a name='header-n7' class='md-header-anchor '></a>17.5 Online Learning</h2><h2><a name='header-n8' class='md-header-anchor '></a>17.6 Map Reduce and Data Parallelism</h2></div>
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