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<html>
<head>
<title>Cornell Data Science Training Program</title>
<style>
body, html {
font-family:"Hind" !important;
}
@media screen and (max-width:701px) {
img {
display: none; }
}
</style>
<link href="static/css/bootstrap.css" rel="stylesheet" type="text/css"/>
<link href="https://fonts.googleapis.com/css?family=Hind" rel="stylesheet">
</head>
<body>
<div class="navbar navbar-default navbar-fixed-top">
<div class="container">
<div class="navbar-header">
<a href="#" class="navbar-brand">CDS Training Program</a>
</div>
<div class="navbar-collapse collapse">
<ul class="nav navbar-nav">
<li><a href="http://bit.ly/CDStrainingprogram">Syllabus</a></li>
<li><a href="https://piazza.com/cornell/spring2017/info4900">Piazza</a></li>
<li><a href="http://cms.csuglab.cornell.edu">CMS</a></li>
</ul>
</div>
</div>
</div>
<div style="margin-top:80px;"></div>
<div class="container">
<div class="row">
<h1>Cornell Data Science Training Program</h1>
<h3>Gates G01 · 5-6 PM Wednesdays</h3>
</div>
<hr/>
<div class="row">
<div class="col-md-4">
<div class="panel-body">
<h4>Instructor</h4>
<p>Dae Won Kim (<a href="mailto:dk444@cornell.edu">dk444</a>)</p>
</div>
<div class="panel-body">
<h4>Teaching Associates</h4>
<p> Amit Mizrahi (<a href="mailto:am2269@cornell.edu">am2269</a>)</p>
<p> Chase Thomas (<a href="mailto:cft32@cornell.edu">cft32</a>)</p>
<p> Jared Lim (<a href="mailto:jl3248@cornell.edu">jl3248</a>) </p>
<p> Kenta Takatsu (<a href="mailto:kt426@cornell.edu">kt426</a>) </p>
</div>
</div>
<div class="col-md-8">
<img style="max-width: 700px" src="static/img/daewon.jpg">
</div>
</div>
<div class="row" class="resources">
<h3>Schedule</h3>
<table class="table table-striped">
<tr>
<th>Date</th>
<th>Lecture Slides</th>
<th>Recordings</th>
<th>Lecture Notes</th>
<th>Assignment</th>
</tr>
<tr>
<td>02/15/17</td>
<td><a href="slides/Lecture 1 - Introduction to R.pdf">Lecture 1: Introduction to R</a></td>
<td><a href="https://drive.google.com/file/d/0B1O0cH8Ce3vfeUpvRGlCZG1Yb2M/view?usp=sharing">Lecture 1: Introduction to R</a></td>
<td><a href="http://nbviewer.jupyter.org/github/cdstrainingprogram/cdstrainingprogram.github.io/blob/master/notes/Lecture1.ipynb">Lecture 1: Introduction to R</a></td>
<td><a href="http://nbviewer.jupyter.org/github/cdstrainingprogram/cdstrainingprogram.github.io/blob/master/assignments/Assignment%201.ipynb">Assignment 1</a></td>
</tr>
<!-- <tr>
<td>02/22/17</td>
<td><a href="#">Lecture 2: Data Wrangling</a></td>
<td><a href="#">Lecture 2: Data Wrangling</a></td>
<td><a href="#">Lecture 2: Data Wrangling</a></td>
<td><a href="#">Assignment 2</a></td>
</tr> <tr>
<td>03/01/17</td>
<td><a href="#">Lecture 3: Data Visualization</a></td>
<td><a href="#">Lecture 3: Data Visualization</a></td>
<td><a href="#">Lecture 3: Data Visualization</a></td>
<td><a href="#">Assignment 3</a></td>
</tr> <tr>
<td>03/08/17</td>
<td><a href="#">Lecture 4: Linear Regression</a></td>
<td><a href="#">Lecture 4: Linear Regression</a></td>
<td><a href="#">Project 1</a></td>
</tr> <tr>
<td>03/15/17</td>
<td><a href="#">Lecture 5: Logistic Regression</a></td>
<td><a href="#">Lecture 5: Logistic Regression</a></td>
<td><a href="#">Project 1</a></td>
</tr> <tr>
<td>03/22/17</td>
<td><a href="#">Lecture 6: Classification</a></td>
<td><a href="#">Lecture 6: Classification</a></td>
<td><a href="#">Project 1</a></td>
</tr> <tr>
<td>03/29/17</td>
<td><a href="#">Lecture 7: Unsupervised Learning</a></td>
<td><a href="#">Lecture 7: Unsupervised Learning</a></td>
<td><a href="#">Project 2</a></td>
</tr> <tr>
<td>04/07/17</td>
<td><a href="#">Lecture 8: Model Selection and Optimization</a></td>
<td><a href="#">Lecture 8: Model Selection and Optimization</a></td>
<td><a href="#">Project 2</a></td>
</tr> <tr>
<td>04/15/17</td>
<td><a href="#">Lecture 9: Meta-Learning </a></td>
<td><a href="#">Lecture 9: Meta-Learning</a></td>
<td><a href="#">Project 2</a></td>
</tr> <tr>
<td>04/22/17</td>
<td><a href="#">Lecture 10: Text Analysis</a></td>
<td><a href="#">Lecture 10: Text Analysis</a></td>
<td><a href="#">Project 2</a></td>
</tr> <tr>
<td>04/29/17</td>
<td><a href="#">Lecture 11: Big Data</a></td>
<td><a href="#">Lecture 11: Big Data</a></td>
<td><a href="#">Project 2</a></td>
</tr> -->
</table>
</div>
</div>
</html>