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      <title>DAT203.2 - Principles of Machine Learning</title>
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      <description>&lt;p&gt;Principles of Machine Learning (DAT203.2) is the 7th in a series of 10 courses that form the Microsoft Professional Program in Data Science. It proves that the further you get into this 10-course sequence, the more enjoyable the classes become. Similar to Data Science Orientation, this class is co-led by Cynthia Rudin and Steve Elston.&lt;/p&gt;&#xA;&#xA;&lt;h2 class=&#34;relative group&#34;&gt;Principles of Machine Learning&#xA;    &lt;div id=&#34;principles-of-machine-learning&#34; class=&#34;anchor&#34;&gt;&lt;/div&gt;&#xA;    &#xA;    &lt;span&#xA;        class=&#34;absolute top-0 w-6 transition-opacity opacity-0 -start-6 not-prose group-hover:opacity-100 select-none&#34;&gt;&#xA;        &lt;a class=&#34;text-primary-300 dark:text-neutral-700 !no-underline&#34; href=&#34;#principles-of-machine-learning&#34; aria-label=&#34;Anchor&#34;&gt;#&lt;/a&gt;&#xA;    &lt;/span&gt;&#xA;    &#xA;&lt;/h2&gt;&#xA;&lt;p&gt;The lecture is composed of 60 videos spanning 8 hours lecture time. Watching them and working the exercises reveals the true practical value of the data science tools. This course forces you to genuinely harness the Azure Machine Learning environment with Python or R scripts. All told, this course required about 30 hours to complete.&lt;/p&gt;</description>
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