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adding upenn course
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Gemfile

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# Performance-booster for watching directories on Windows
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gem "wdm", "~> 0.1.1", :platforms => [:mingw, :x64_mingw, :mswin]
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gem "jekyll-include-cache", group: :jekyll_plugins
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gem "jekyll-include-cache", group: :jekyll_plugins
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gem "webrick", "~> 1.7"

_data/materials/full_courses.yml

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- image: "/assets/images/thumbnails/edX.png"
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alt: "edX"
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url: "https://www.edx.org/"
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- title: "Embedded Machine Learning on Coursera"
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subtitle: "by Edge Impulse"
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date: "Launched 2021-2022"
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alt: "Coursera"
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url: "https://www.edx.org/"
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- title: "ESE3600: Tiny Machine Learning"
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subtitle: "by the University of Pennsylvania"
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date: "Fall 2022"
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audience: "Everyone"
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language_instruction: "English"
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language_materials: "English"
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links:
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- url: "https://tinyml.seas.upenn.edu/"
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title: "Website and Materials"
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thumbnails:
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- image: "/assets/images/thumbnails/upenn.png"
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alt: "UPenn"
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url: "https://www.seas.upenn.edu/"
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- title: "UNIFEI IESTI01"
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subtitle: "TinyML - Machine Learning for Embedding Devices"
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date: "Jan 2021 - Present"

_site/feed.xml

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<?xml version="1.0" encoding="utf-8"?><feed xmlns="http://www.w3.org/2005/Atom" ><generator uri="https://jekyllrb.com/" version="3.9.0">Jekyll</generator><link href="http://localhost:4000/feed.xml" rel="self" type="application/atom+xml" /><link href="http://localhost:4000/" rel="alternate" type="text/html" /><updated>2022-08-11T09:09:23-04:00</updated><id>http://localhost:4000/feed.xml</id><title type="html">TinyMLedu</title><subtitle>The Tiny Machine Learning Open Education Initiative</subtitle><author><name>TinyMLedu</name><email></email></author></feed>
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<?xml version="1.0" encoding="utf-8"?><feed xmlns="http://www.w3.org/2005/Atom" ><generator uri="https://jekyllrb.com/" version="3.9.2">Jekyll</generator><link href="http://localhost:4000/feed.xml" rel="self" type="application/atom+xml" /><link href="http://localhost:4000/" rel="alternate" type="text/html" /><updated>2022-10-25T16:02:59-04:00</updated><id>http://localhost:4000/feed.xml</id><title type="html">TinyMLedu</title><subtitle>The Tiny Machine Learning Open Education Initiative</subtitle><author><name>TinyMLedu</name><email></email></author></feed>

_site/index.html

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<td>English</td>
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<td><a href="https://www.coursera.org/learn/introduction-to-embedded-machine-learning"> Course 1 </a> <br /> <a href="https://www.coursera.org/learn/computer-vision-with-embedded-machine-learning"> Course 2 </a> <br /> <a href="https://github.com/edgeimpulse/courseware-embedded-machine-learning"> All Materials </a> <br /></td>
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</tr>
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<tr>
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<td><a href="https://www.seas.upenn.edu/"><img src="/assets/images/thumbnails/upenn.png" alt="UPenn" style="max-height:25pt; width:auto;" /></a></td>
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<td><strong>ESE3600: Tiny Machine Learning</strong> <br /> by the University of Pennsylvania</td>
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<td>Fall 2022</td>
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<td>Everyone</td>
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<td>English</td>
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<td>English</td>
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<td><a href="https://tinyml.seas.upenn.edu/"> Website and Materials </a> <br /></td>
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</tr>
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<tr>
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<td><a href="https://unifei.edu.br/"><img src="/assets/images/thumbnails/unifei.png" alt="Universidade Federal de Itajubá (UNIFEI)" style="max-height:25pt; width:auto;" /></a></td>
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<td><strong>UNIFEI IESTI01</strong> <br /> TinyML - Machine Learning for Embedding Devices</td>

_site/sitemap.xml

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</url>
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<url>
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<loc>http://localhost:4000/assets/other/4D/22.03.11_Marcelo_Rovai_Handout.pdf</loc>
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<lastmod>2022-04-05T13:04:08-04:00</lastmod>
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<lastmod>2022-10-25T15:52:55-04:00</lastmod>
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</url>
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<url>
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<loc>http://localhost:4000/assets/slides/4D/TSIoT_2022.pdf</loc>
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<lastmod>2022-04-05T15:29:32-04:00</lastmod>
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<lastmod>2022-10-25T15:52:55-04:00</lastmod>
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</url>
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<url>
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<loc>http://localhost:4000/assets/slides/4D/TinyML_Overview_WALC_19_Nov_2021.pdf</loc>
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<lastmod>2022-04-08T11:22:49-04:00</lastmod>
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<lastmod>2022-10-25T15:52:55-04:00</lastmod>
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</url>
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<url>
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<loc>http://localhost:4000/assets/slides/4D/UNAM_IoT_andTinyML_Workshop_02Feb22_MZ_MR.pdf</loc>
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<lastmod>2022-04-05T13:04:08-04:00</lastmod>
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<lastmod>2022-10-25T15:52:55-04:00</lastmod>
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</url>
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<url>
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<loc>http://localhost:4000/assets/slides/4D/seminars/21.09.17_Vijay_Janapa_Reddi.pdf</loc>
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<lastmod>2022-04-05T13:04:08-04:00</lastmod>
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<lastmod>2022-10-25T15:52:55-04:00</lastmod>
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</url>
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<url>
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<loc>http://localhost:4000/assets/slides/4D/seminars/21.10.01_Marcelo_Rovai.pdf</loc>
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<lastmod>2022-10-25T15:52:55-04:00</lastmod>
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</url>
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<url>
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<loc>http://localhost:4000/assets/slides/4D/seminars/21.10.08_Marco_Zennaro.pdf</loc>
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<lastmod>2022-04-05T13:04:08-04:00</lastmod>
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<lastmod>2022-10-25T15:52:55-04:00</lastmod>
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</url>
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<url>
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<loc>http://localhost:4000/assets/slides/4D/seminars/22.03.11_Marcelo_Rovai.pdf</loc>
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<lastmod>2022-10-25T15:52:55-04:00</lastmod>
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</url>
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</urlset>

assets/images/thumbnails/upenn.png

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