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Sat Mar 2 06:45:21 UTC 2024
2024-03-02 06:45:21 +00:00
<!DOCTYPE html>
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Thu Mar 7 01:07:22 UTC 2024
2024-03-07 01:07:22 +00:00
CSCI-2210: Math Fndtns Of Machine Lrning
Sat Mar 2 06:45:21 UTC 2024
2024-03-02 06:45:21 +00:00
</title>
Thu Mar 7 01:07:22 UTC 2024
2024-03-07 01:07:22 +00:00
<meta property="og:title" content="CSCI-2210: Math Fndtns Of Machine Lrning">
<meta property="og:description" content="This course covers the essential building blocks of machine learning, focusing on topics in linear algebra, continuous probability and stochastic, and optimization. This provides students with foundational mathematical concepts to the components of machine learning - data, models, and learning algorithms - at an introductory level, emphasizing their basic functionalities and relationships. These mathematical foundations are the bedrock upon which machine learning is constructed. The topics that will be covered in this course are: Vectors, matrices, matrix operations and decomposition, eigenvalues, eigenvectors, vector calculus, calculating gradients of functions of vectors and matrices, probability theory, and linear regression.">
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<h1 id="name">
Thu Mar 7 01:07:22 UTC 2024
2024-03-07 01:07:22 +00:00
Math Fndtns Of Machine Lrning
Sat Mar 2 06:45:21 UTC 2024
2024-03-02 06:45:21 +00:00
</h1>
<h2 id="code">
CSCI-2210
</h2>
<p>
Thu Mar 7 01:07:22 UTC 2024
2024-03-07 01:07:22 +00:00
This course covers the essential building blocks of machine learning, focusing on topics in linear algebra, continuous probability and stochastic, and optimization. This provides students with foundational mathematical concepts to the components of machine learning - data, models, and learning algorithms - at an introductory level, emphasizing their basic functionalities and relationships. These mathematical foundations are the bedrock upon which machine learning is constructed. The topics that will be covered in this course are: Vectors, matrices, matrix operations and decomposition, eigenvalues, eigenvectors, vector calculus, calculating gradients of functions of vectors and matrices, probability theory, and linear regression.
Sat Mar 2 06:45:21 UTC 2024
2024-03-02 06:45:21 +00:00
</p>
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1 credit
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Prereqs:
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none
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<th class="fall season-label">Fall</th>
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<th class="year">2024</th>
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<th class="year">2023</th>
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<th class="year">2022</th>
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<th class="year">2021</th>
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<th class="year">2020</th>
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<th class="year">2019</th>
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<th class="year">2018</th>
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<th class="year">2017</th>
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<th class="year">2016</th>
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<th class="year">2015</th>
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<th class="year">2014</th>
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<th class="year">2013</th>
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<th class="year">2012</th>
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<th class="year">2011</th>
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<th class="year">2010</th>
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<th class="year">2009</th>
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<th class="year">2008</th>
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<th class="year">2007</th>
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<th class="year">2005</th>
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<th class="year">2004</th>
<td class="term spring not-offered">
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<th class="year">2003</th>
<td class="term spring not-offered">
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</tr>
<tr>
<th class="year">2002</th>
<td class="term spring not-offered">
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<td class="term fall not-offered">
</td>
</tr>
<tr>
<th class="year">2001</th>
<td class="term spring offered">
<div class="view-container detail-view-container">
<span class="term-course-info">
<a href="https://sis.rpi.edu/rss/bwckctlg.p_disp_listcrse?term_in=200101&subj_in=CSCI&crse_in=2210&schd_in=">Programming In Lisp (1c)</a>
</span>
<ul class="prof-list">
<li>Daniel M. Manthey</li>
</ul>
<span class="course-capacity">
Seats Taken: 39/120
</span>
</div>
</td>
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</td>
<td class="term fall not-offered">
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</tr>
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<th class="year">2000</th>
<td class="term spring offered">
<div class="view-container detail-view-container">
<span class="term-course-info">
<a href="https://sis.rpi.edu/rss/bwckctlg.p_disp_listcrse?term_in=200001&subj_in=CSCI&crse_in=2210&schd_in=">Programming In Lisp (1c)</a>
</span>
<ul class="prof-list">
<li>Daniel M. Manthey</li>
</ul>
<span class="course-capacity">
Seats Taken: 24/120
</span>
</div>
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<div class="view-container detail-view-container">
<span class="term-course-info">
<a href="https://sis.rpi.edu/rss/bwckctlg.p_disp_listcrse?term_in=200009&subj_in=CSCI&crse_in=2210&schd_in=">Programming In Lisp (1c)</a>
</span>
<ul class="prof-list">
<li>Daniel M. Manthey</li>
</ul>
<span class="course-capacity">
Seats Taken: 19/120
</span>
</div>
</td>
</tr>
<tr>
<th class="year">1999</th>
<td class="term spring offered">
<div class="view-container detail-view-container">
<span class="term-course-info">
<a href="https://sis.rpi.edu/rss/bwckctlg.p_disp_listcrse?term_in=199901&subj_in=CSCI&crse_in=2210&schd_in=">Programming In Lisp (1c)</a>
</span>
<ul class="prof-list">
<li>Alok K Mehta</li>
</ul>
<span class="course-capacity">
Seats Taken: 23/120
</span>
</div>
</td>
<td colspan="2" class="term summer not-offered">
</td>
<td class="term fall offered">
<div class="view-container detail-view-container">
<span class="term-course-info">
<a href="https://sis.rpi.edu/rss/bwckctlg.p_disp_listcrse?term_in=199909&subj_in=CSCI&crse_in=2210&schd_in=">Programming In Lisp (1c)</a>
</span>
<ul class="prof-list">
<li>Daniel M. Manthey</li>
</ul>
<span class="course-capacity">
Seats Taken: 13/120
</span>
</div>
</td>
</tr>
<tr>
<th class="year">1998</th>
<td class="term spring unscheduled">
</td>
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</td>
<td class="term fall offered">
<div class="view-container detail-view-container">
<span class="term-course-info">
<a href="https://sis.rpi.edu/rss/bwckctlg.p_disp_listcrse?term_in=199809&subj_in=CSCI&crse_in=2210&schd_in=">Programming In Lisp (1c)</a>
</span>
<ul class="prof-list">
<li>Kenneth William Flynn</li>
</ul>
<span class="course-capacity">
Seats Taken: 22/120
</span>
</div>
</td>
</tr>
</tbody>
</table>
</div>
</div>
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