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<!doctype html>
<html lang="en">
<head>
<meta charset="utf-8">
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<title>DSC 140A</title>
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<a class="navbar-brand" href="#"><i class="fa fa-bullseye fa-fw"></i>DSC 140A</a>
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<a class="nav-link" href="./index.html"><span class="">🗓️ Schedule</span></a>
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<a class="nav-link" href="./syllabus.html"><span class="">📜 Syllabus</span></a>
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<h1>DSC 140A – Probabilistic Modeling and Machine Learning</h1>
<hr>
</div>
<h1 id="all-materials">All Materials</h1>
<p>This page lists all of the published lecture slides, homeworks, etc. For a
week-by-week view of the course, see the <a href="./index.html">schedule</a>.</p>
<h2 id="lectures">Lectures</h2>
<div class="listing">
<table class="table">
<thead>
<tr>
<th scope="col">#</th>
<th scope="col">Topic</th>
<th scope="col">Slides</th>
</tr>
</thead>
<tbody>
<tr>
<th scope="row"> 1</th>
<td>
Introduction: Nearest Neighbors
</td>
<td>
<a href="materials/lectures/01-knn/slides.pdf">
Eldridge
</a>
</td>
</tr>
<tr>
<th scope="row"> 2</th>
<td>
ERM and Least Squares
</td>
<td>
<a href="materials/lectures/02-erm_and_linear_models/slides.pdf">
Eldridge
</a>
</td>
</tr>
<tr>
<th scope="row"> 3</th>
<td>
Gradient Descent
</td>
<td>
<a href="materials/lectures/03-gradient_descent/slides.pdf">
Eldridge
</a>
</td>
</tr>
<tr>
<th scope="row"> 4</th>
<td>
SGD and Subgradients
</td>
<td>
<a href="materials/lectures/04-sgd_and_subgradients/slides.pdf">
Eldridge
</a>
</td>
</tr>
<tr>
<th scope="row"> 5</th>
<td>
Subgradients and Convexity
</td>
<td>
<a href="materials/lectures/05-convexity/slides.pdf">
Eldridge
</a>
</td>
</tr>
<tr>
<th scope="row"> 6</th>
<td>
Convexity and Linear Classifiers
</td>
<td>
<a href="materials/lectures/06-linear_classification/slides.pdf">
Eldridge
</a>
</td>
</tr>
<tr>
<th scope="row"> 7</th>
<td>
SVMs
</td>
<td>
<a href="materials/lectures/07-svm/slides.pdf">
Eldridge
</a>
</td>
</tr>
<tr>
<th scope="row"> 8</th>
<td>
Feature Maps
</td>
<td>
<a href="materials/lectures/08-feature_maps/slides.pdf">
Eldridge
</a>
</td>
</tr>
<tr>
<th scope="row"> 9</th>
<td>
Regularization
</td>
<td>
<a href="materials/lectures/09-regularization/slides.pdf">
Eldridge
</a>
</td>
</tr>
<tr>
<th scope="row"> 10</th>
<td>
Kernels
</td>
<td>
<a href="materials/lectures/10-kernels/slides.pdf">
Eldridge
</a>
</td>
</tr>
<tr>
<th scope="row"> 11</th>
<td>
Bayes Decision Theory
</td>
<td>
Not yet released...
</td>
</tr>
<tr>
<th scope="row"> 12</th>
<td>
Density Estimation
</td>
<td>
Not yet released...
</td>
</tr>
<tr>
<th scope="row"> 13</th>
<td>
Maximum Likelihood
</td>
<td>
Not yet released...
</td>
</tr>
<tr>
<th scope="row"> 14</th>
<td>
Multivariate Gaussians
</td>
<td>
Not yet released...
</td>
</tr>
<tr>
<th scope="row"> 15</th>
<td>
Naive Bayes
</td>
<td>
Not yet released...
</td>
</tr>
<tr>
<th scope="row"> 16</th>
<td>
Regression (Probabilistic View)
</td>
<td>
Not yet released...
</td>
</tr>
<tr>
<th scope="row"> 17</th>
<td>
Decision Trees
</td>
<td>
Not yet released...
</td>
</tr>
<tr>
<th scope="row"> 18</th>
<td>
Boosting
</td>
<td>
Not yet released...
</td>
</tr>
<tr>
<th scope="row"> 19</th>
<td>
Neural Networks
</td>
<td>
Not yet released...
</td>
</tr>
</tbody>
</table>
</div>
<h2 id="homeworks">Homeworks</h2>
<div class="listing">
<table class="table">
<thead>
<tr>
<th scope="col">#</th>
<th scope="col">Topic</th>
<th scope="col">Problems</th>
<th scope="col">Solutions</th>
<th scope="col">Due</th>
</tr>
</thead>
<tbody>
<tr>
<th scope="row"> 1</th>
<td>
Nearest Neighbors and Linear Regression
</td>
<td>
<a href="materials/homeworks/01-nearest_neighbor_and_least_squares/homework.pdf">
Problems
</a>
</td>
<td>
<a href="materials/homeworks/01-nearest_neighbor_and_least_squares/solution.pdf">
Solution
</a>
</td>
<td>
Wednesday, Jan 15 at 23:59:00
</td>
</tr>
<tr>
<th scope="row"> 2</th>
<td>
Linear Models and Gradients
</td>
<td>
<a href="materials/homeworks/02-linear_models_and_gradient/homework.pdf">
Problems
</a>
</td>
<td>
<a href="materials/homeworks/02-linear_models_and_gradient/solution.pdf">
Solution
</a>
</td>
<td>
Wednesday, Jan 22 at 23:59:00
</td>
</tr>
<tr>
<th scope="row"> 3</th>
<td>
Convexity and Perceptrons
</td>
<td>
<a href="materials/homeworks/03-convexity_and_classification/homework.pdf">
Problems
</a>
</td>
<td>
<a href="materials/homeworks/03-convexity_and_classification/solution.pdf">
Solution
</a>
</td>
<td>
Wednesday, Jan 29 at 23:59:00
</td>
</tr>
<tr>
<th scope="row"> 4</th>
<td>
SVMs and Feature Maps
</td>
<td>
<a href="materials/homeworks/04-svm_and_feature_maps/homework.pdf">
Problems
</a>
</td>
<td>
<a href="materials/homeworks/04-svm_and_feature_maps/solution.pdf">
Solution
</a>
</td>
<td>
Wednesday, Feb 05 at 23:59:00
</td>
</tr>
<tr>
<th scope="row"> 5</th>
<td>
Regularization
</td>
<td>
<a href="materials/homeworks/05-regularization/homework.pdf">