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contents/labs/shared/kws_feature_eng/kws_feature_eng.html

@@ -654,12 +654,9 @@ <h2 id="toc-title">Table of contents</h2>
   <li><a href="#hands-on-using-python" id="toc-hands-on-using-python" class="nav-link" data-scroll-target="#hands-on-using-python">Hands-On using Python</a></li>
   <li><a href="#conclusion" id="toc-conclusion" class="nav-link" data-scroll-target="#conclusion">Conclusion</a>
   <ul>
-  <li><a href="#what-feature-extraction-technique-should-we-use" id="toc-what-feature-extraction-technique-should-we-use" class="nav-link" data-scroll-target="#what-feature-extraction-technique-should-we-use"><strong>What</strong> Feature Extraction technique <strong>should we use?</strong></a>
-  <ul class="collapse">
   <li><a href="#mfccs-are-particularly-strong-for" id="toc-mfccs-are-particularly-strong-for" class="nav-link" data-scroll-target="#mfccs-are-particularly-strong-for">MFCCs are particularly strong for</a></li>
   <li><a href="#spectrograms-or-mfes-are-often-more-suitable-for" id="toc-spectrograms-or-mfes-are-often-more-suitable-for" class="nav-link" data-scroll-target="#spectrograms-or-mfes-are-often-more-suitable-for">Spectrograms or MFEs are often more suitable for</a></li>
   </ul></li>
-  </ul></li>
   <li><a href="#resources" id="toc-resources" class="nav-link" data-scroll-target="#resources">Resources</a></li>
   </ul>
 <div class="toc-actions"><ul><li><a href="https://github.com/harvard-edge/cs249r_book/edit/dev/contents/labs/shared/kws_feature_eng/kws_feature_eng.qmd" class="toc-action"><i class="bi bi-github"></i>Edit this page</a></li><li><a href="https://github.com/harvard-edge/cs249r_book/issues/new" class="toc-action"><i class="bi empty"></i>Report an issue</a></li><li><a href="https://github.com/harvard-edge/cs249r_book/blob/dev/contents/labs/shared/kws_feature_eng/kws_feature_eng.qmd" class="toc-action"><i class="bi empty"></i>View source</a></li></ul></div></nav>
@@ -808,8 +805,7 @@ <h2 class="anchored" data-anchor-id="hands-on-using-python">Hands-On using Pytho
 </section>
 <section id="conclusion" class="level2">
 <h2 class="anchored" data-anchor-id="conclusion">Conclusion</h2>
-<section id="what-feature-extraction-technique-should-we-use" class="level3">
-<h3 class="anchored" data-anchor-id="what-feature-extraction-technique-should-we-use"><strong>What</strong> Feature Extraction technique <strong>should we use?</strong></h3>
+<p><em>What Feature Extraction technique should we use?</em></p>
 <p>Mel-frequency Cepstral Coefficients (MFCCs), Mel-Frequency Energies (MFEs), or Spectrogram are techniques for representing audio data, which are often helpful in different contexts.</p>
 <p>In general, MFCCs are more focused on capturing the envelope of the power spectrum, which makes them less sensitive to fine-grained spectral details but more robust to noise. This is often desirable for speech-related tasks. On the other hand, spectrograms or MFEs preserve more detailed frequency information, which can be advantageous in tasks that require discrimination based on fine-grained spectral content.</p>
 <section id="mfccs-are-particularly-strong-for" class="level4">
@@ -832,7 +828,6 @@ <h4 class="anchored" data-anchor-id="spectrograms-or-mfes-are-often-more-suitabl
 </ol>
 </section>
 </section>
-</section>
 <section id="resources" class="level2">
 <h2 class="anchored" data-anchor-id="resources">Resources</h2>
 <ul>

contents/tools.html

@@ -607,12 +607,12 @@ <h2 id="toc-title">Table of contents</h2>
   <ul>
   <li><a href="#hardware-kits" id="toc-hardware-kits" class="nav-link active" data-scroll-target="#hardware-kits"><span class="header-section-number">A.1</span> Hardware Kits</a>
   <ul>
-  <li><a href="#microcontrollers-and-development-boards" id="toc-microcontrollers-and-development-boards" class="nav-link" data-scroll-target="#microcontrollers-and-development-boards"><span class="header-section-number">A.1.1</span> <strong>Microcontrollers and Development Boards</strong></a></li>
+  <li><a href="#microcontrollers-and-development-boards" id="toc-microcontrollers-and-development-boards" class="nav-link" data-scroll-target="#microcontrollers-and-development-boards"><span class="header-section-number">A.1.1</span> Microcontrollers and Development Boards</a></li>
   </ul></li>
   <li><a href="#software-tools" id="toc-software-tools" class="nav-link" data-scroll-target="#software-tools"><span class="header-section-number">A.2</span> Software Tools</a>
   <ul>
-  <li><a href="#machine-learning-frameworks" id="toc-machine-learning-frameworks" class="nav-link" data-scroll-target="#machine-learning-frameworks"><span class="header-section-number">A.2.1</span> <strong>Machine Learning Frameworks</strong></a></li>
-  <li><a href="#libraries-and-apis" id="toc-libraries-and-apis" class="nav-link" data-scroll-target="#libraries-and-apis"><span class="header-section-number">A.2.2</span> <strong>Libraries and APIs</strong></a></li>
+  <li><a href="#machine-learning-frameworks" id="toc-machine-learning-frameworks" class="nav-link" data-scroll-target="#machine-learning-frameworks"><span class="header-section-number">A.2.1</span> Machine Learning Frameworks</a></li>
+  <li><a href="#libraries-and-apis" id="toc-libraries-and-apis" class="nav-link" data-scroll-target="#libraries-and-apis"><span class="header-section-number">A.2.2</span> Libraries and APIs</a></li>
   </ul></li>
   <li><a href="#ides-and-development-environments" id="toc-ides-and-development-environments" class="nav-link" data-scroll-target="#ides-and-development-environments"><span class="header-section-number">A.3</span> IDEs and Development Environments</a></li>
   </ul>
@@ -644,7 +644,7 @@ <h1 class="title">Appendix A: Tools</h1>
 <section id="hardware-kits" class="level2" data-number="A.1">
 <h2 data-number="A.1" class="anchored" data-anchor-id="hardware-kits"><span class="header-section-number">A.1</span> Hardware Kits</h2>
 <section id="microcontrollers-and-development-boards" class="level3" data-number="A.1.1">
-<h3 data-number="A.1.1" class="anchored" data-anchor-id="microcontrollers-and-development-boards"><span class="header-section-number">A.1.1</span> <strong>Microcontrollers and Development Boards</strong></h3>
+<h3 data-number="A.1.1" class="anchored" data-anchor-id="microcontrollers-and-development-boards"><span class="header-section-number">A.1.1</span> Microcontrollers and Development Boards</h3>
 <table class="caption-top table">
 <colgroup>
 <col style="width: 2%">
@@ -733,7 +733,7 @@ <h3 data-number="A.1.1" class="anchored" data-anchor-id="microcontrollers-and-de
 <section id="software-tools" class="level2" data-number="A.2">
 <h2 data-number="A.2" class="anchored" data-anchor-id="software-tools"><span class="header-section-number">A.2</span> Software Tools</h2>
 <section id="machine-learning-frameworks" class="level3" data-number="A.2.1">
-<h3 data-number="A.2.1" class="anchored" data-anchor-id="machine-learning-frameworks"><span class="header-section-number">A.2.1</span> <strong>Machine Learning Frameworks</strong></h3>
+<h3 data-number="A.2.1" class="anchored" data-anchor-id="machine-learning-frameworks"><span class="header-section-number">A.2.1</span> Machine Learning Frameworks</h3>
 <table class="caption-top table">
 <colgroup>
 <col style="width: 3%">
@@ -772,7 +772,7 @@ <h3 data-number="A.2.1" class="anchored" data-anchor-id="machine-learning-framew
 </table>
 </section>
 <section id="libraries-and-apis" class="level3" data-number="A.2.2">
-<h3 data-number="A.2.2" class="anchored" data-anchor-id="libraries-and-apis"><span class="header-section-number">A.2.2</span> <strong>Libraries and APIs</strong></h3>
+<h3 data-number="A.2.2" class="anchored" data-anchor-id="libraries-and-apis"><span class="header-section-number">A.2.2</span> Libraries and APIs</h3>
 <table class="caption-top table">
 <colgroup>
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index.html

@@ -7,7 +7,7 @@
 <meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes">
 
 <meta name="author" content="Vijay Janapa Reddi">
-<meta name="dcterms.date" content="2024-08-27">
+<meta name="dcterms.date" content="2024-08-29">
 
 <title>Machine Learning Systems</title>
 <style>
@@ -648,7 +648,7 @@ <h1 class="title">Machine Learning Systems</h1>
     <div>
     <div class="quarto-title-meta-heading">Last Updated</div>
     <div class="quarto-title-meta-contents">
-      <p class="date">August 27, 2024</p>
+      <p class="date">August 29, 2024</p>
     </div>
   </div>
 
@@ -671,7 +671,7 @@ <h1 class="title">Machine Learning Systems</h1>
 <h1 class="unnumbered">Preface</h1><p><img src="cover-image-transparent.png" title="Machine Learning Systems" class="quarto-cover-image img-fluid" alt="Cover image."></p>
 <p>Welcome to Machine Learning Systems. This book is your gateway to the fast-paced world of AI systems. It is an extension of the course <a href="https://sites.google.com/g.harvard.edu/cs249-tinyml-2023">CS249r</a> at Harvard University.</p>
 <iframe src="github-button.html"></iframe>
-<p>We have created this open-source book as a collaborative effort to bring together insights from students, professionals, and the broader community of AI practitioners. Our goal is to develop a comprehensive guide that delves deep into the intricacies of AI systems and their numerous applications.</p>
+<p>We have created this open-source book as a collaborative effort to bring together insights from students, professionals, and the broader community of AI practitioners. Our goal is to develop a comprehensive guide that explores the intricacies of AI systems and their numerous applications.</p>
 <blockquote class="blockquote">
 <p>“If you want to go fast, go alone. If you want to go far, go together.” – African Proverb</p>
 </blockquote>

references.html

@@ -2932,15 +2932,8 @@ <h1 class="title">References</h1>
 High-Stakes <span>AI</span>.”</span> In <em>Proceedings of the 2021 CHI
 Conference on Human Factors in Computing Systems</em>, 1–15.
 </div>
-<div id="ref-sambasivan2021" class="csl-entry" role="listitem">
-———. 2021b. <span>“<span><span>“</span>Everyone</span> Wants to Do the
-Model Work, Not the Data Work<span>”</span>: <span>Data</span> Cascades
-in High-Stakes <span>AI</span>.”</span> In <em>Proceedings of the 2021
-CHI Conference on Human Factors in Computing Systems</em>. CHI ’21. New
-York, NY, USA: ACM. <a href="https://doi.org/10.1145/3411764.3445518">https://doi.org/10.1145/3411764.3445518</a>.
-</div>
 <div id="ref-sculley2015hidden" class="csl-entry" role="listitem">
-———. 2021c. <span>“<span><span>“</span>Everyone</span> Wants to Do the
+———. 2021b. <span>“<span><span>“</span>Everyone</span> Wants to Do the
 Model Work, Not the Data Work<span>”</span>: <span>Data</span> Cascades
 in High-Stakes <span>AI</span>.”</span> In <em>Proceedings of the 2021
 CHI Conference on Human Factors in Computing Systems</em>. ACM. <a href="https://doi.org/10.1145/3411764.3445518">https://doi.org/10.1145/3411764.3445518</a>.