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index.html
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<!DOCTYPE HTML>
<!--
Photon by HTML5 UP
html5up.net | @ajlkn
Free for personal and commercial use under the CCA 3.0 license (html5up.net/license)
-->
<html>
<head>
<title>Colorado Data Science Team</title>
<meta charset="utf-8" />
<meta name="viewport" content="width=device-width, initial-scale=1, user-scalable=no" />
<link rel="stylesheet" href="assets/css/main.css" />
<noscript><link rel="stylesheet" href="assets/css/noscript.css" /></noscript>
</head>
<body class="is-preload">
<!-- Header -->
<section id="header">
<div class="inner">
<!-- <span class="icon solid major fa-chart-bar"></span> -->
<div class="container">
<span class="image fit"><img src="images/cu-header.png" alt="" /></span>
</div>
<!-- <h1>Colorado Data Science Team (CODATA)</h1> -->
<div class="container">
<p><strong>We are a team</strong> (and <a href="https://home.cs.colorado.edu/~raf/teaching/codata.html">class</a>)
of data scientists, machine learners, statisticians, and number crunchers at the University of Colorado Boulder.</p>
</div>
<p>
<strong>Join us</strong>
at our weekly meetings, Tuesdays at 5pm.
Fall 2022 location: ITLL 1B50.
All are welcome.
</p>
<p>
Join our <strong><a href="https://join.slack.com/t/cubdatascienceteam/shared_invite/enQtMzA0MTc1Mjk1NzM0LTRmMDlmYzlmNTFlMGI1OGFlNzI1NzQyZjg4MjZmODMyZjc4ZmI5NDNlZTE5NjU5OTZjYTY3YmQ3N2U5MzQwOGU">Slack channel</a></strong>
to stay in touch!
</p>
<ul class="actions special">
<li><a href="#one" class="button scrolly">Read On</a></li>
</ul>
</div>
</section>
<section id="zero" class="main style2">
<div class="container">
<div class="row gtr-150">
<div class="col-3 col-12-medium">
<span class="icon solid major fa-calendar"></span>
</div>
<div class="col-9 col-12-medium">
<header class="major">
<h2>Fall 2022 Schedule</h2>
</header>
<p>
We have an exciting array of speakers lined up this semester!
Please feel free to join even if you are not in the class (space permitting).
We will also occasionally have remote speakers in which case anyone can join via <a href="https://cuboulder.zoom.us/j/99378877806">Zoom</a> (pass: "data").</p>
<style type="text/css">
.tg {border:none}
.tg td{overflow:hidden;padding:10px 5px;word-break:normal;}
.tg th{overflow:hidden;padding:10px 5px;word-break:normal;}
//.tg .tg-2b7s{text-align:right;vertical-align:bottom}
//.tg .tg-7zrl{text-align:left;vertical-align:bottom}
@media screen and (max-width: 767px) {.tg {width: auto !important;}.tg col {width: auto !important;}.tg-wrap {overflow-x: auto;-webkit-overflow-scrolling: touch;}}</style>
<div class="tg-wrap"><table class="tg">
<tbody>
<tr>
<td class="tg-2b7s"><span>Aug 30</span></td>
<td class="tg-7zrl"><span><a href="https://enriquenueve.github.io/">Enrique Nueve, CU CS</a></span></td>
<td class="tg-7zrl"></td>
</tr>
<tr>
<td class="tg-2b7s"><span>Sep 6</span></td>
<td class="tg-7zrl"><span><a href="https://www.linkedin.com/in/martha-morrissey-6162a8104/">Martha Morrissey, Pachama</a></span></td>
<td class="tg-7zrl"></td>
</tr>
<tr>
<td class="tg-2b7s"><span>Sep 13</span></td>
<td class="tg-7zrl"><span><a href="https://www.linkedin.com/in/natalie-coston-58b5a211b/">Natalie Coston, Lumen</a></span></td>
<td class="tg-7zrl"></td>
</tr>
<tr>
<td class="tg-2b7s"><span>Sep 20</span></td>
<td class="tg-7zrl"><span> <a href="https://sites.google.com/view/djlyles/">Danielle Lyles, CU Office of Data Analytics</a> </span></td>
<td class="tg-7zrl"></td>
</tr>
<tr>
<td class="tg-2b7s"><span>Sep 27</span></td>
<td class="tg-7zrl"><span><a href="https://www.linkedin.com/in/katie-fankhauser-5b006563/">Katie Fankhauser, CU Environmental Engineering</a></span></td>
<td class="tg-7zrl"></td>
</tr>
<tr>
<td class="tg-2b7s"><span>Oct 4</span></td>
<td class="tg-7zrl"><span>Student Presentations</span></td>
<td class="tg-7zrl"></td>
</tr>
<tr>
<td class="tg-2b7s"><span>Oct 10</span></td>
<td class="tg-7zrl"><span>TBD</span></td>
<td class="tg-7zrl"></td>
</tr>
<tr>
<td class="tg-2b7s"><span>Oct 17</span></td>
<td class="tg-7zrl"><span>TBD</span></td>
<td class="tg-7zrl"></td>
</tr>
<tr>
<td class="tg-2b7s"><span>Oct 24</span></td>
<td class="tg-7zrl"><span><a href="https://www.colorado.edu/amath/lladser">Manuel Lladser, CU Applied Math</span></td>
<td class="tg-7zrl"></td>
</tr>
<tr>
<td class="tg-2b7s"><span>Oct 31</span></td>
<td class="tg-7zrl"><span><a href="https://vikasnataraja.github.io/about/">Vikas Nataraja, CU LASP</span></td>
<td class="tg-7zrl"></td>
</tr>
<tr>
<td class="tg-2b7s"><span>Nov 1</span></td>
<td class="tg-7zrl"><span><a href="https://home.cs.colorado.edu/~mozer/index.php">Mike Mozer, CU CS + Google Brain</a></span></td>
<td class="tg-7zrl"></td>
</tr>
<tr>
<td class="tg-2b7s"><span>Nov 8</span></td>
<td class="tg-7zrl"><span><a href="https://www.colorado.edu/certificate/iqbiology/kate-bubar">Kate Bubar, CU Applied Math</span></td>
<td class="tg-7zrl"></td>
</tr>
<tr>
<td class="tg-2b7s"><span>Nov 15</span></td>
<td class="tg-7zrl"><span><a href="https://junipertcy.info/">Tzu-Chi Yen, CU CS</span></td>
<td class="tg-7zrl"></td>
</tr>
<tr>
<td class="tg-2b7s"><span>Nov 22</span></td>
<td class="tg-7zrl"><span>Fall Break</span></td>
<td class="tg-7zrl"></td>
</tr>
<tr>
<td class="tg-2b7s"><span>Nov 29</span></td>
<td class="tg-7zrl"><span>Student presentations! Pre-rec due day before (Nov 28)</span></td>
<td class="tg-7zrl"></td>
</tr>
<tr>
<td class="tg-2b7s"><span>Dec 6</span></td>
<td class="tg-7zrl"><span>Student presentations!</span></td>
<td class="tg-7zrl"></td>
</tr>
</tbody>
</table></div>
</div>
</div>
</div>
</section>
<section id="one" class="main style1">
<div class="container">
<div class="row gtr-150">
<div class="col-6 col-12-medium">
<header class="major">
<h2>Educational Mission</h2>
</header>
<p> Our primary goal is educational: to get hands on experience working in teams applying modern machine learning tools to real problems with real data. As part of this goal, we compete in internal prediction challenges, as well as represent CU Boulder in global competitions as seen on Kaggle, DrivenData, Quantopian, and other platforms.
The team has an official <strong><a href="https://home.cs.colorado.edu/~raf/teaching/codata.html">1-credit companion course</a></strong> as well.
</div>
<div class="col-6 col-12-medium imp-medium">
<span class="image fit"><img src="images/first_meeting_fall_sem_2.jpg" alt="" /></span>
</div>
</div>
</div>
</section>
<section id="three" class="main style2">
<div class="container">
<div class="row gtr-150">
<div class="col-6 col-12-medium">
<span class="image fit"><img src="images/first_meeting_fall_sem_1.jpg" alt="" /></span>
</div>
<div class="col-6 col-12-medium">
<header class="major">
<h2>Meet a Data Scientist (MADS) Series</h2>
</header>
<p>
Every meeting (Tuesdays @ 5pm), we begin by hearing from a practicing data scientist or data science researcher. Talks are usually 10-15 minutes, and give students a glimpse of the breadth of data science in practice, beyond classroom projects and competitions, and the diversity in the types of data, techniques, and applications. Researchers often share techniques they are developing, or how they use existing techniques to advance scientific knowledge; practicing data scientists often share their experiences about what works and when it works. Talks are typically aimed toward beginner and intermediate students, with some technical details for the more advanced students.</p>
<!-- <p> -->
<!-- If you are a data scientist (broadly construed) and believe a presentation on your current work would be a good fit for the Colorado Data Science Team, please reach out to the leadership team at [email protected].</p> -->
</div>
</div>
</div>
</section>
<section id="four" class="main style1 special">
<div class="container">
<header class="major">
<h2>Want to Learn More?</h2>
</header>
<p>Sign up for our Slack channel and the 1-credit companion course.</p>
<ul class="actions special">
<li><a href="https://join.slack.com/t/cubdatascienceteam/shared_invite/enQtMzA0MTc1Mjk1NzM0LTRmMDlmYzlmNTFlMGI1OGFlNzI1NzQyZjg4MjZmODMyZjc4ZmI5NDNlZTE5NjU5OTZjYTY3YmQ3N2U5MzQwOGU" class="button wide primary">Sign Up</a></li>
<li><a href="https://home.cs.colorado.edu/~raf/teaching/codata.html" class="button wide">Course Page</a></li>
</ul>
</div>
</section>
<!-- Scripts -->
<script src="assets/js/jquery.min.js"></script>
<script src="assets/js/jquery.scrolly.min.js"></script>
<script src="assets/js/browser.min.js"></script>
<script src="assets/js/breakpoints.min.js"></script>
<script src="assets/js/util.js"></script>
<script src="assets/js/main.js"></script>
</body>
</html>