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adding coursera courseware
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_data/materials/full_courses.yml

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- title: "edX tinyML Specialization"
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subtitle: "by Harvard University"
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date: "Launched 2020-2022"
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audience: "Everyone"
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language_instruction: "English"
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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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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://www.coursera.org/learn/introduction-to-embedded-machine-learning"
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title: "Course 1"
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- url: "https://www.coursera.org/learn/computer-vision-with-embedded-machine-learning"
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title: "Course 2"
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- url: "https://github.com/edgeimpulse/courseware-embedded-machine-learning"
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title: "All Materials"
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thumbnails:
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- image: "/assets/images/thumbnails/edgeImpulse.svg"
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alt: "Edge Impulse"
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url: "https://www.edgeimpulse.com/"
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- image: "/assets/images/thumbnails/coursera.png"
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alt: "Coursera"
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url: "https://www.edx.org/"
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- title: "UNIFEI IESTI01"
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subtitle: "TinyML - Machine Learning for Embedding Devices"

_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="https://tinymlx.github.io/feed.xml" rel="self" type="application/atom+xml" /><link href="https://tinymlx.github.io/" rel="alternate" type="text/html" /><updated>2022-04-29T10:57:42-04:00</updated><id>https://tinymlx.github.io/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="3.9.0">Jekyll</generator><link href="https://tinymlx.github.io/feed.xml" rel="self" type="application/atom+xml" /><link href="https://tinymlx.github.io/" rel="alternate" type="text/html" /><updated>2022-04-29T11:26:04-04:00</updated><id>https://tinymlx.github.io/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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<tbody>
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<tr>
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<td><a href="https://www.seas.harvard.edu/"><img src="/assets/images/thumbnails/harvard_seas.svg" alt="Harvard John A. Paulson School of Engineering and Applied Sciences" style="max-height:25pt; width:auto;" /></a><a href="https://www.edx.org/"><img src="/assets/images/thumbnails/edX.png" alt="edX" style="max-height:25pt; width:auto;" /></a></td>
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<td><strong>edX tinyML Specialization</strong></td>
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<td><strong>edX tinyML Specialization</strong> <br /> by Harvard University</td>
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<td>Launched 2020-2022</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://www.edx.org/professional-certificate/harvardx-tiny-machine-learning"> Course 1-3 Website </a> <br /> <a href="https://www.edx.org/course/mlops-for-scaling-tinyml"> Course 4 Website </a> <br /> <a href="https://github.com/tinyMLx/courseware/tree/master/edX"> All Materials </a> <br /> <a href="https://github.com/tinyMLx/colabs"> All Colabs </a> <br /> <a href="https://github.com/tinyMLx/arduino-library"> Arduino Library </a> <br /></td>
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</tr>
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<tr>
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<td><a href="https://www.edgeimpulse.com/"><img src="/assets/images/thumbnails/edgeImpulse.svg" alt="Edge Impulse" style="max-height:25pt; width:auto;" /></a><a href="https://www.edx.org/"><img src="/assets/images/thumbnails/coursera.png" alt="Coursera" style="max-height:25pt; width:auto;" /></a></td>
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<td><strong>Embedded Machine Learning on Coursera</strong> <br /> by Edge Impulse</td>
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<td>Launched 2021-2022</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://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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<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>
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