<h1 id="heading-steps-for-solving-machine-learning-problem">STEPS FOR SOLVING MACHINE LEARNING PROBLEM</h1>
<ol>
<li>Which problem are you trying to solve ?</li>
<li>What data do we have ?</li>
<li>What defines the success of your model?</li>
<li>What are the features of data that you have ?</li>
<li>What kind of model is suitable for this?</li>
<li>Experiment ....</li>
</ol>
<h1 id="heading-types-of-machine-learning-problems">TYPES OF  MACHINE LEARNING PROBLEMS</h1>
<ol>
<li>Supervised problem -&gt; I know my inputs &amp; outputs</li>
<li>Unsupervised problem -&gt; I know only my inputs</li>
<li>Transfer problem -&gt; I can solve this problem by taking machine learning model of         <pre><code>                               <span class="hljs-keyword">similar</span> problem
</code></pre></li>
</ol>
<h1 id="heading-types-of-data">TYPES OF  DATA</h1>
<ol>
<li>Structured Data -&gt; e.g data with rows &amp; columns</li>
<li>Unstructured Data -&gt; e.g Images &amp; texts</li>
</ol>


# STEPS FOR SOLVING MACHINE LEARNING PROBLEM

1.  Which problem are you trying to solve ?
2.  What data do we have ?
3.  What defines the success of your model?
4.  What are the features of data that you have ?
5.  What kind of model is suitable for this?
6.  Experiment ....

# TYPES OF  MACHINE LEARNING PROBLEMS

1.  Supervised problem -> I know my inputs & outputs
2.  Unsupervised problem -> I know only my inputs
3.  Transfer problem -> I can solve this problem by taking machine learning model of         
                                       similar problem

# TYPES OF  DATA

1.  Structured Data -> e.g data with rows & columns
2. Unstructured Data -> e.g Images & texts


Machine Learning Overview

STEPS FOR SOLVING MACHINE LEARNING PROBLEM

TYPES OF MACHINE LEARNING PROBLEMS

TYPES OF DATA