updating site content

01_introduction.ipynb

@@ -30,9 +30,53 @@
     "\n",
     "What is `Machine Learning`? What is the basic level of ML?\n",
     "\n",
-    "![maths](assets/ai.png)\n",
+    "Imagine the following code:\n",
     "\n",
-    "![map](assets/map_of_ml.png)"
+    "```python\n",
+    "if x>10:\n",
+    "    print(\"x is greater than 10\")\n",
+    "else:\n",
+    "    print(\"x is less than 10\")\n",
+    "```\n",
+    "\n",
+    "Is this `Machine Learning`? \n",
+    "\n",
+    "> No, this is a rule based system. But re-imagine \n",
+    "this example as follows:\n",
+    "\n",
+    "```python  \n",
+    "if x>y:\n",
+    "    print(\"x is greater than 10\")\n",
+    "else:\n",
+    "    print(\"x is less than 10\")\n",
+    "```\n",
+    "\n",
+    "where the value of `y` is adjusted but mathematical operations and \n",
+    "feedback rather than you explicitly setting the value as 10.\n",
+    "\n",
+    "Is this now `Machine Learning`?\n",
+    "\n",
+    "> Yes, this is a basic example of `Machine Learning`.\n",
+    "\n",
+    "First try to understand What is `Artificial Intelligence`?\n",
+    "\n",
+    "\n",
+    "\n",
+    "Think of `Artificial Intelligence`, the buzzword of the decade, as the ability to learn the art of decision making.\n",
+    "Whether the decision is the action to switch on the bulb based on light intensity on the sensor or the descision to \n",
+    "turn the car wheel in case of any object detected in front of the car or the ability to predict the next word in \n",
+    "the sequece of sentence, or just taking the descision to determine which object is present in the image.\n",
+    "\n",
+    "`Machine Learning` is the subset of this AI\n",
+    "\n",
+    "It is about building a mathematical set of equations which take some set of inputs and outputs a value which can be `inferred` by down stream systems as a descision.\n",
+    "\n",
+    "ML is the `if..else...end` condition that saves our efforts to come up with rules that execute certain actions.\n",
+    "\n",
+    "Consider `Artificial Intelligence`\n",
+    "\n",
+    "![maths](assets/ai.png)\n",
+    "\n"
    ]
   },
   {
@@ -46,7 +90,8 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Types of Machine Learning"
+    "## Types of Machine Learning\n",
+    "![map](assets/map_of_ml.png)"
    ]
   },
   {
@@ -56,6 +101,7 @@
     "### Matrix of problems: `Supervised`/`Unsupervised`, `Regression`/`Classification`\n",
     "\n",
     "Examples:\n",
+    "\n",
     "|Objective/Type Of Learning|Supervised|Unsupervised|\n",
     "|:-:|:-:|:-:|\n",
     "|Regression|House Price Prediction|House Price Estimation|\n",

04_supervised_learning_regression.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Supervised Learning"
+    "# Supervised Learning | Regression"
    ]
   },
   {

05_supervised_learning_classification.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Supervised Learning"
+    "# Supervised Learning | Classification"
    ]
   },
   {

07_deep_learning.ipynb

@@ -31,14 +31,22 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### Artificial Neural Networks"
+    "### Artificial Neural Networks\n",
+    "\n",
+    "|![ANN](assets/a_simple_feed_forward_neural_network.png)|\n",
+    "|:-:|\n",
+    "|A simple ANN(Source: /~https://github.com/helblazer811/ManimML)|"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### Convolutional Neural Networks"
+    "### Convolutional Neural Networks\n",
+    "\n",
+    "|![CNN](assets/convolutional_neural_network_with_an_image.gif)|\n",
+    "|:-:|\n",
+    "|CNN(Source: /~https://github.com/helblazer811/ManimML)|\n"
    ]
   },
   {

08_reinforcement_learning.ipynb

@@ -76,10 +76,24 @@
   }
  ],
  "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
   "language_info": {
-   "name": "python"
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.8"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 2
+ "nbformat_minor": 4
 }

_build/html/01_introduction.html

@@ -195,8 +195,8 @@
 <li class="toctree-l1 current active"><a class="current reference internal" href="#">Introduction to Machine Learning</a></li>
 <li class="toctree-l1"><a class="reference internal" href="02_defining_the_problem_statement.html">Defining the problem statement</a></li>
 <li class="toctree-l1"><a class="reference internal" href="03_know_your_data.html">Know Your Data</a></li>
-<li class="toctree-l1"><a class="reference internal" href="04_supervised_learning_regression.html">Supervised Learning</a></li>
-<li class="toctree-l1"><a class="reference internal" href="05_supervised_learning_classification.html">Supervised Learning</a></li>
+<li class="toctree-l1"><a class="reference internal" href="04_supervised_learning_regression.html">Supervised Learning | Regression</a></li>
+<li class="toctree-l1"><a class="reference internal" href="05_supervised_learning_classification.html">Supervised Learning | Classification</a></li>
 <li class="toctree-l1"><a class="reference internal" href="06_unsupervised_learning.html">Unsupervised Learning</a></li>
 <li class="toctree-l1"><a class="reference internal" href="07_deep_learning.html">Deep Learning</a></li>
 <li class="toctree-l1"><a class="reference internal" href="08_reinforcement_learning.html">Reinforcement Learning</a></li>
@@ -398,14 +398,47 @@ <h1>Introduction to Machine Learning<a class="headerlink" href="#introduction-to
 <h2>Introduction to the <code class="docutils literal notranslate"><span class="pre">World</span> <span class="pre">of</span> <span class="pre">AI/ML</span></code><a class="headerlink" href="#introduction-to-the-world-of-ai-ml" title="Link to this heading">#</a></h2>
 <p><code class="docutils literal notranslate"><span class="pre">Machine</span> <span class="pre">Learning</span></code> in essence is basically <code class="docutils literal notranslate"><span class="pre">Mathematics</span></code> on overdrive.</p>
 <p>What is <code class="docutils literal notranslate"><span class="pre">Machine</span> <span class="pre">Learning</span></code>? What is the basic level of ML?</p>
+<p>Imagine the following code:</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="k">if</span> <span class="n">x</span><span class="o">&gt;</span><span class="mi">10</span><span class="p">:</span>
+    <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;x is greater than 10&quot;</span><span class="p">)</span>
+<span class="k">else</span><span class="p">:</span>
+    <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;x is less than 10&quot;</span><span class="p">)</span>
+</pre></div>
+</div>
+<p>Is this <code class="docutils literal notranslate"><span class="pre">Machine</span> <span class="pre">Learning</span></code>?</p>
+<blockquote>
+<div><p>No, this is a rule based system. But re-imagine
+this example as follows:</p>
+</div></blockquote>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="k">if</span> <span class="n">x</span><span class="o">&gt;</span><span class="n">y</span><span class="p">:</span>
+    <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;x is greater than 10&quot;</span><span class="p">)</span>
+<span class="k">else</span><span class="p">:</span>
+    <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;x is less than 10&quot;</span><span class="p">)</span>
+</pre></div>
+</div>
+<p>where the value of <code class="docutils literal notranslate"><span class="pre">y</span></code> is adjusted but mathematical operations and
+feedback rather than you explicitly setting the value as 10.</p>
+<p>Is this now <code class="docutils literal notranslate"><span class="pre">Machine</span> <span class="pre">Learning</span></code>?</p>
+<blockquote>
+<div><p>Yes, this is a basic example of <code class="docutils literal notranslate"><span class="pre">Machine</span> <span class="pre">Learning</span></code>.</p>
+</div></blockquote>
+<p>First try to understand What is <code class="docutils literal notranslate"><span class="pre">Artificial</span> <span class="pre">Intelligence</span></code>?</p>
+<p>Think of <code class="docutils literal notranslate"><span class="pre">Artificial</span> <span class="pre">Intelligence</span></code>, the buzzword of the decade, as the ability to learn the art of decision making.
+Whether the decision is the action to switch on the bulb based on light intensity on the sensor or the descision to
+turn the car wheel in case of any object detected in front of the car or the ability to predict the next word in
+the sequece of sentence, or just taking the descision to determine which object is present in the image.</p>
+<p><code class="docutils literal notranslate"><span class="pre">Machine</span> <span class="pre">Learning</span></code> is the subset of this AI</p>
+<p>It is about building a mathematical set of equations which take some set of inputs and outputs a value which can be <code class="docutils literal notranslate"><span class="pre">inferred</span></code> by down stream systems as a descision.</p>
+<p>ML is the <code class="docutils literal notranslate"><span class="pre">if..else...end</span></code> condition that saves our efforts to come up with rules that execute certain actions.</p>
+<p>Consider <code class="docutils literal notranslate"><span class="pre">Artificial</span> <span class="pre">Intelligence</span></code></p>
 <p><img alt="maths" src="_images/ai.png" /></p>
-<p><img alt="map" src="_images/map_of_ml.png" /></p>
 </section>
 <section id="machine-learning-and-its-applications">
 <h2>Machine Learning and Its Applications<a class="headerlink" href="#machine-learning-and-its-applications" title="Link to this heading">#</a></h2>
 </section>
 <section id="types-of-machine-learning">
 <h2>Types of Machine Learning<a class="headerlink" href="#types-of-machine-learning" title="Link to this heading">#</a></h2>
+<p><img alt="map" src="_images/map_of_ml.png" /></p>
 <section id="matrix-of-problems-supervised-unsupervised-regression-classification">
 <h3>Matrix of problems: <code class="docutils literal notranslate"><span class="pre">Supervised</span></code>/<code class="docutils literal notranslate"><span class="pre">Unsupervised</span></code>, <code class="docutils literal notranslate"><span class="pre">Regression</span></code>/<code class="docutils literal notranslate"><span class="pre">Classification</span></code><a class="headerlink" href="#matrix-of-problems-supervised-unsupervised-regression-classification" title="Link to this heading">#</a></h3>
 <p>Examples:</p>

_build/html/04_supervised_learning_regression.html

@@ -8,7 +8,7 @@
     <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>Supervised Learning &#8212; Learning By Failure - Machine Learning</title>
+    <title>Supervised Learning | Regression &#8212; Learning By Failure - Machine Learning</title>
 
 
 
@@ -75,7 +75,7 @@
     <link rel="author" title="About these documents" href="about.html" />
     <link rel="index" title="Index" href="genindex.html" />
     <link rel="search" title="Search" href="search.html" />
-    <link rel="next" title="Supervised Learning" href="05_supervised_learning_classification.html" />
+    <link rel="next" title="Supervised Learning | Classification" href="05_supervised_learning_classification.html" />
     <link rel="prev" title="Know Your Data" href="03_know_your_data.html" />
   <meta name="viewport" content="width=device-width, initial-scale=1"/>
   <meta name="docsearch:language" content="en"/>
@@ -195,8 +195,8 @@
 <li class="toctree-l1"><a class="reference internal" href="01_introduction.html">Introduction to Machine Learning</a></li>
 <li class="toctree-l1"><a class="reference internal" href="02_defining_the_problem_statement.html">Defining the problem statement</a></li>
 <li class="toctree-l1"><a class="reference internal" href="03_know_your_data.html">Know Your Data</a></li>
-<li class="toctree-l1 current active"><a class="current reference internal" href="#">Supervised Learning</a></li>
-<li class="toctree-l1"><a class="reference internal" href="05_supervised_learning_classification.html">Supervised Learning</a></li>
+<li class="toctree-l1 current active"><a class="current reference internal" href="#">Supervised Learning | Regression</a></li>
+<li class="toctree-l1"><a class="reference internal" href="05_supervised_learning_classification.html">Supervised Learning | Classification</a></li>
 <li class="toctree-l1"><a class="reference internal" href="06_unsupervised_learning.html">Unsupervised Learning</a></li>
 <li class="toctree-l1"><a class="reference internal" href="07_deep_learning.html">Deep Learning</a></li>
 <li class="toctree-l1"><a class="reference internal" href="08_reinforcement_learning.html">Reinforcement Learning</a></li>
@@ -354,7 +354,7 @@
 
 
 <div id="jb-print-docs-body" class="onlyprint">
-    <h1>Supervised Learning</h1>
+    <h1>Supervised Learning | Regression</h1>
     <!-- Table of contents -->
     <div id="print-main-content">
         <div id="jb-print-toc">
@@ -380,8 +380,8 @@ <h2> Contents </h2>
 <div id="searchbox"></div>
                 <article class="bd-article">
 
-  <section class="tex2jax_ignore mathjax_ignore" id="supervised-learning">
-<h1>Supervised Learning<a class="headerlink" href="#supervised-learning" title="Link to this heading">#</a></h1>
+  <section class="tex2jax_ignore mathjax_ignore" id="supervised-learning-regression">
+<h1>Supervised Learning | Regression<a class="headerlink" href="#supervised-learning-regression" title="Link to this heading">#</a></h1>
 <section id="defining-regression-problems">
 <h2>Defining Regression Problems<a class="headerlink" href="#defining-regression-problems" title="Link to this heading">#</a></h2>
 <table class="table">
@@ -455,7 +455,7 @@ <h2>Running Backtests<a class="headerlink" href="#running-backtests" title="Link
        title="next page">
       <div class="prev-next-info">
         <p class="prev-next-subtitle">next</p>
-        <p class="prev-next-title">Supervised Learning</p>
+        <p class="prev-next-title">Supervised Learning | Classification</p>
       </div>
       <i class="fa-solid fa-angle-right"></i>
     </a>

_build/html/05_supervised_learning_classification.html

@@ -8,7 +8,7 @@
     <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>Supervised Learning &#8212; Learning By Failure - Machine Learning</title>
+    <title>Supervised Learning | Classification &#8212; Learning By Failure - Machine Learning</title>
 
 
 
@@ -76,7 +76,7 @@
     <link rel="index" title="Index" href="genindex.html" />
     <link rel="search" title="Search" href="search.html" />
     <link rel="next" title="Unsupervised Learning" href="06_unsupervised_learning.html" />
-    <link rel="prev" title="Supervised Learning" href="04_supervised_learning_regression.html" />
+    <link rel="prev" title="Supervised Learning | Regression" href="04_supervised_learning_regression.html" />
   <meta name="viewport" content="width=device-width, initial-scale=1"/>
   <meta name="docsearch:language" content="en"/>
   </head>
@@ -195,8 +195,8 @@
 <li class="toctree-l1"><a class="reference internal" href="01_introduction.html">Introduction to Machine Learning</a></li>
 <li class="toctree-l1"><a class="reference internal" href="02_defining_the_problem_statement.html">Defining the problem statement</a></li>
 <li class="toctree-l1"><a class="reference internal" href="03_know_your_data.html">Know Your Data</a></li>
-<li class="toctree-l1"><a class="reference internal" href="04_supervised_learning_regression.html">Supervised Learning</a></li>
-<li class="toctree-l1 current active"><a class="current reference internal" href="#">Supervised Learning</a></li>
+<li class="toctree-l1"><a class="reference internal" href="04_supervised_learning_regression.html">Supervised Learning | Regression</a></li>
+<li class="toctree-l1 current active"><a class="current reference internal" href="#">Supervised Learning | Classification</a></li>
 <li class="toctree-l1"><a class="reference internal" href="06_unsupervised_learning.html">Unsupervised Learning</a></li>
 <li class="toctree-l1"><a class="reference internal" href="07_deep_learning.html">Deep Learning</a></li>
 <li class="toctree-l1"><a class="reference internal" href="08_reinforcement_learning.html">Reinforcement Learning</a></li>
@@ -354,7 +354,7 @@
 
 
 <div id="jb-print-docs-body" class="onlyprint">
-    <h1>Supervised Learning</h1>
+    <h1>Supervised Learning | Classification</h1>
     <!-- Table of contents -->
     <div id="print-main-content">
         <div id="jb-print-toc">
@@ -380,8 +380,8 @@ <h2> Contents </h2>
 <div id="searchbox"></div>
                 <article class="bd-article">
 
-  <section class="tex2jax_ignore mathjax_ignore" id="supervised-learning">
-<h1>Supervised Learning<a class="headerlink" href="#supervised-learning" title="Link to this heading">#</a></h1>
+  <section class="tex2jax_ignore mathjax_ignore" id="supervised-learning-classification">
+<h1>Supervised Learning | Classification<a class="headerlink" href="#supervised-learning-classification" title="Link to this heading">#</a></h1>
 <section id="defining-classification-problems">
 <h2>Defining Classification Problems<a class="headerlink" href="#defining-classification-problems" title="Link to this heading">#</a></h2>
 </section>
@@ -435,7 +435,7 @@ <h2>Running Backtests<a class="headerlink" href="#running-backtests" title="Link
       <i class="fa-solid fa-angle-left"></i>
       <div class="prev-next-info">
         <p class="prev-next-subtitle">previous</p>
-        <p class="prev-next-title">Supervised Learning</p>
+        <p class="prev-next-title">Supervised Learning | Regression</p>
       </div>
     </a>
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