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# Collection of notes on {ml-nn-zero2hero}
# {ml-nn-zero2hero}

Welcome to this repository of Collection of notes on {ml.nn-zero2hero}. This repository includes notes and learnings following the [nn_zero_to_hero](https://www.youtube.com/playlist?list=PLAqhIrjkxbuWI23v9cThsA9GvCAUhRvKZ) guide by Andrej Karpathy and the open-source notebooks available on [Hands-On Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2](https://github.com/ageron/handson-ml3) by Aurelien Geron. Personally, I found these to be two of the best resources available on this subject, purely from an applied learning stand point. I should also look into getting a better theoretical background on the subject as well.
Welcome to this repository of Collection of notes on {ml.nn-zero2hero}. This repository includes notes and learnings following the [nn_zero_to_hero](https://www.youtube.com/playlist?list=PLAqhIrjkxbuWI23v9cThsA9GvCAUhRvKZ) guide by Andrej Karpathy and the open-source notebooks available on [Hands-On Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2](https://github.com/ageron/handson-ml3) by Aurelien Geron. Personally, I found these to be two of the best resources available on this subject, purely from an applied learning stand point. For great visual understanding, the videos at [3Blue1Brown](https://www.youtube.com/playlist?list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi) are quite helpful as well. I should also look into getting a concise theoretical background on the subject, and will post a good article on this as well.

Other resources include (but not limited to),
- The [DeepLearning.ai](https://deeplearning.ai/) courses on the Machine Learning / Deep Learning Specialization by Andrew Ng
- Online book on [Model-based Machine Learning](https://mbmlbook.com/) by John Winn
- [Pattern Recognition and Machine Learning](https://www.microsoft.com/en-us/research/uploads/prod/2006/01/Bishop-Pattern-Recognition-and-Machine-Learning-2006.pdf) by Christopher Bishop
- [Hands-On Mathematical Optimization with Python](https://github.com/mobook/MO-book)

The goals of these notebooks are to:
The goals of this collection of notebooks are to:

* Grasp the foundations for hands-on machine learning
* Demonstrate the tools and concepts using beautiful publication-quality work
* Grasp the foundations for hands-on machine learning and deep learning in an elegant approach
* Have fun while learning and compiling notes and eventually end in a culmination of work
* Help readers to easily navigate the learning experience with a good compilation on notes on the subject
* Demonstrate the use of SOTA tools and concepts for documenting beautiful publication-quality work

### Pre-requisites

- Python 3.7 or above (preferrably on VSCode)
- Python 3.9 or above (preferrably on VSCode)
- [Mathematics for Machine Learning](https://mml-book.github.io/book/mml-book.pdf)

#### Packages
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<ul class="nav bd-sidenav bd-sidenav__home-link">
<li class="toctree-l1">
<a class="reference internal" href="intro.html">
Collection of notes on {ml-nn-zero2hero}
{ml-nn-zero2hero}
</a>
</li>
</ul>
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<li class="toctree-l1 has-children"><a class="reference internal" href="notebooks/07/07.html">Section 07</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-7"><i class="fa-solid fa-chevron-down"></i></label><ul class="simple">
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<p aria-level="2" class="caption" role="heading"><span class="caption-text">Transformers</span></p>
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<li class="toctree-l1 has-children"><a class="reference internal" href="notebooks/08/08.html">Section 08</a><input class="toctree-checkbox" id="toctree-checkbox-8" name="toctree-checkbox-8" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-8"><i class="fa-solid fa-chevron-down"></i></label><ul class="simple">
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</ul>
</li>
</ul>
<p aria-level="2" class="caption" role="heading"><span class="caption-text">Other Notes</span></p>
<p aria-level="2" class="caption" role="heading"><span class="caption-text">Optimization</span></p>
<ul class="nav bd-sidenav">
<li class="toctree-l1 has-children"><a class="reference internal" href="notebooks/10/10.html">Section 10</a><input class="toctree-checkbox" id="toctree-checkbox-10" name="toctree-checkbox-10" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-10"><i class="fa-solid fa-chevron-down"></i></label><ul class="simple">
</ul>
</li>
</ul>
<p aria-level="2" class="caption" role="heading"><span class="caption-text">Other Notes</span></p>
<ul class="nav bd-sidenav">
<li class="toctree-l1"><a class="reference external" href="https://jupyterbook.org/en/stable/start/your-first-book.html">jupyter-books</a></li>
</ul>

</div>
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<meta charset="utf-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="viewport" content="width=device-width, initial-scale=1" />

<title>Collection of notes on {ml-nn-zero2hero} &#8212; Collection of notes on {ml.nn-zero2hero}</title>
<title>{ml-nn-zero2hero} &#8212; Collection of notes on {ml.nn-zero2hero}</title>



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<ul class="nav bd-sidenav bd-sidenav__home-link">
<li class="toctree-l1 current active">
<a class="reference internal" href="#">
Collection of notes on {ml-nn-zero2hero}
{ml-nn-zero2hero}
</a>
</li>
</ul>
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<li class="toctree-l1 has-children"><a class="reference internal" href="notebooks/07/07.html">Section 07</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-7"><i class="fa-solid fa-chevron-down"></i></label><ul class="simple">
</ul>
</li>
</ul>
<p aria-level="2" class="caption" role="heading"><span class="caption-text">Transformers</span></p>
<ul class="nav bd-sidenav">
<li class="toctree-l1 has-children"><a class="reference internal" href="notebooks/08/08.html">Section 08</a><input class="toctree-checkbox" id="toctree-checkbox-8" name="toctree-checkbox-8" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-8"><i class="fa-solid fa-chevron-down"></i></label><ul class="simple">
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<li class="toctree-l1 has-children"><a class="reference internal" href="notebooks/09/09.html">Section 09</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-9"><i class="fa-solid fa-chevron-down"></i></label><ul class="simple">
</ul>
</li>
</ul>
<p aria-level="2" class="caption" role="heading"><span class="caption-text">Other Notes</span></p>
<p aria-level="2" class="caption" role="heading"><span class="caption-text">Optimization</span></p>
<ul class="nav bd-sidenav">
<li class="toctree-l1 has-children"><a class="reference internal" href="notebooks/10/10.html">Section 10</a><input class="toctree-checkbox" id="toctree-checkbox-10" name="toctree-checkbox-10" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-10"><i class="fa-solid fa-chevron-down"></i></label><ul class="simple">
</ul>
</li>
</ul>
<p aria-level="2" class="caption" role="heading"><span class="caption-text">Other Notes</span></p>
<ul class="nav bd-sidenav">
<li class="toctree-l1"><a class="reference external" href="https://jupyterbook.org/en/stable/start/your-first-book.html">jupyter-books</a></li>
</ul>

</div>
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<div id="jb-print-docs-body" class="onlyprint">
<h1>Collection of notes on {ml-nn-zero2hero}</h1>
<h1>{ml-nn-zero2hero}</h1>
<!-- Table of contents -->
<div id="print-main-content">
<div id="jb-print-toc">
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<div id="searchbox"></div>
<article class="bd-article">

<section class="tex2jax_ignore mathjax_ignore" id="collection-of-notes-on-ml-nn-zero2hero">
<h1>Collection of notes on {ml-nn-zero2hero}<a class="headerlink" href="#collection-of-notes-on-ml-nn-zero2hero" title="Link to this heading">#</a></h1>
<p>Welcome to this repository of Collection of notes on {ml.nn-zero2hero}. This repository includes notes and learnings following the <a class="reference external" href="https://www.youtube.com/playlist?list=PLAqhIrjkxbuWI23v9cThsA9GvCAUhRvKZ">nn_zero_to_hero</a> guide by Andrej Karpathy and the open-source notebooks available on <a class="reference external" href="https://github.com/ageron/handson-ml3">Hands-On Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2</a> by Aurelien Geron. Personally, I found these to be two of the best resources available on this subject, purely from an applied learning stand point. I should also look into getting a better theoretical background on the subject as well.</p>
<section class="tex2jax_ignore mathjax_ignore" id="ml-nn-zero2hero">
<h1>{ml-nn-zero2hero}<a class="headerlink" href="#ml-nn-zero2hero" title="Link to this heading">#</a></h1>
<p>Welcome to this repository of Collection of notes on {ml.nn-zero2hero}. This repository includes notes and learnings following the <a class="reference external" href="https://www.youtube.com/playlist?list=PLAqhIrjkxbuWI23v9cThsA9GvCAUhRvKZ">nn_zero_to_hero</a> guide by Andrej Karpathy and the open-source notebooks available on <a class="reference external" href="https://github.com/ageron/handson-ml3">Hands-On Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2</a> by Aurelien Geron. Personally, I found these to be two of the best resources available on this subject, purely from an applied learning stand point. For great visual understanding, the videos at <a class="reference external" href="https://www.youtube.com/playlist?list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi">3Blue1Brown</a> are quite helpful as well. I should also look into getting a concise theoretical background on the subject, and will post a good article on this as well.</p>
<p>Other resources include (but not limited to),</p>
<ul class="simple">
<li><p>The <a class="reference external" href="https://deeplearning.ai/">DeepLearning.ai</a> courses on the Machine Learning / Deep Learning Specialization by Andrew Ng</p></li>
<li><p>Online book on <a class="reference external" href="https://mbmlbook.com/">Model-based Machine Learning</a> by John Winn</p></li>
<li><p><a class="reference external" href="https://www.microsoft.com/en-us/research/uploads/prod/2006/01/Bishop-Pattern-Recognition-and-Machine-Learning-2006.pdf">Pattern Recognition and Machine Learning</a> by Christopher Bishop</p></li>
<li><p><a class="reference external" href="https://github.com/mobook/MO-book">Hands-On Mathematical Optimization with Python</a></p></li>
</ul>
<p>The goals of these notebooks are to:</p>
<p>The goals of this collection of notebooks are to:</p>
<ul class="simple">
<li><p>Grasp the foundations for hands-on machine learning</p></li>
<li><p>Demonstrate the tools and concepts using beautiful publication-quality work</p></li>
<li><p>Grasp the foundations for hands-on machine learning and deep learning in an elegant approach</p></li>
<li><p>Have fun while learning and compiling notes and eventually end in a culmination of work</p></li>
<li><p>Help readers to easily navigate the learning experience with a good compilation on notes on the subject</p></li>
<li><p>Demonstrate the use of SOTA tools and concepts for documenting beautiful publication-quality work</p></li>
</ul>
<section id="pre-requisites">
<h2>Pre-requisites<a class="headerlink" href="#pre-requisites" title="Link to this heading">#</a></h2>
<ul class="simple">
<li><p>Python 3.7 or above (preferrably on VSCode)</p></li>
<li><p>Python 3.9 or above (preferrably on VSCode)</p></li>
<li><p><a class="reference external" href="https://mml-book.github.io/book/mml-book.pdf">Mathematics for Machine Learning</a></p></li>
</ul>
<section id="packages">
Expand All @@ -466,6 +475,10 @@ <h3>Packages<a class="headerlink" href="#packages" title="Link to this heading">
</div>
<div class="toctree-wrapper compound">
</div>
<div class="toctree-wrapper compound">
</div>
<div class="toctree-wrapper compound">
</div>
</section>

<script type="text/x-thebe-config">
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<link rel="index" title="Index" href="../../genindex.html" />
<link rel="search" title="Search" href="../../search.html" />
<link rel="next" title="Section 1.1" href="NB_1_1.html" />
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<link rel="prev" title="{ml-nn-zero2hero}" href="../../intro.html" />
<meta name="viewport" content="width=device-width, initial-scale=1"/>
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<ul class="nav bd-sidenav bd-sidenav__home-link">
<li class="toctree-l1">
<a class="reference internal" href="../../intro.html">
Collection of notes on {ml-nn-zero2hero}
{ml-nn-zero2hero}
</a>
</li>
</ul>
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<li class="toctree-l1 has-children"><a class="reference internal" href="../07/07.html">Section 07</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-7"><i class="fa-solid fa-chevron-down"></i></label><ul class="simple">
</ul>
</li>
</ul>
<p aria-level="2" class="caption" role="heading"><span class="caption-text">Transformers</span></p>
<ul class="nav bd-sidenav">
<li class="toctree-l1 has-children"><a class="reference internal" href="../08/08.html">Section 08</a><input class="toctree-checkbox" id="toctree-checkbox-8" name="toctree-checkbox-8" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-8"><i class="fa-solid fa-chevron-down"></i></label><ul class="simple">
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<li class="toctree-l1 has-children"><a class="reference internal" href="../09/09.html">Section 09</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-9"><i class="fa-solid fa-chevron-down"></i></label><ul class="simple">
</ul>
</li>
</ul>
<p aria-level="2" class="caption" role="heading"><span class="caption-text">Other Notes</span></p>
<p aria-level="2" class="caption" role="heading"><span class="caption-text">Optimization</span></p>
<ul class="nav bd-sidenav">
<li class="toctree-l1 has-children"><a class="reference internal" href="../10/10.html">Section 10</a><input class="toctree-checkbox" id="toctree-checkbox-10" name="toctree-checkbox-10" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-10"><i class="fa-solid fa-chevron-down"></i></label><ul class="simple">
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<p aria-level="2" class="caption" role="heading"><span class="caption-text">Other Notes</span></p>
<ul class="nav bd-sidenav">
<li class="toctree-l1"><a class="reference external" href="https://jupyterbook.org/en/stable/start/your-first-book.html">jupyter-books</a></li>
</ul>

</div>
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<ul class="nav bd-sidenav bd-sidenav__home-link">
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{ml-nn-zero2hero}
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<li class="toctree-l1 has-children"><a class="reference internal" href="../07/07.html">Section 07</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-7"><i class="fa-solid fa-chevron-down"></i></label><ul class="simple">
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<p aria-level="2" class="caption" role="heading"><span class="caption-text">Transformers</span></p>
<ul class="nav bd-sidenav">
<li class="toctree-l1 has-children"><a class="reference internal" href="../08/08.html">Section 08</a><input class="toctree-checkbox" id="toctree-checkbox-8" name="toctree-checkbox-8" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-8"><i class="fa-solid fa-chevron-down"></i></label><ul class="simple">
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</ul>
<p aria-level="2" class="caption" role="heading"><span class="caption-text">Other Notes</span></p>
<p aria-level="2" class="caption" role="heading"><span class="caption-text">Optimization</span></p>
<ul class="nav bd-sidenav">
<li class="toctree-l1 has-children"><a class="reference internal" href="../10/10.html">Section 10</a><input class="toctree-checkbox" id="toctree-checkbox-10" name="toctree-checkbox-10" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-10"><i class="fa-solid fa-chevron-down"></i></label><ul class="simple">
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<p aria-level="2" class="caption" role="heading"><span class="caption-text">Other Notes</span></p>
<ul class="nav bd-sidenav">
<li class="toctree-l1"><a class="reference external" href="https://jupyterbook.org/en/stable/start/your-first-book.html">jupyter-books</a></li>
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