dhruv's space (Posts about statistics)https://dhruvs.space/enContents © 2020 <a href="mailto:dhruvt93@gmail.com">Dhruv Thakur</a> Fri, 14 Feb 2020 22:35:36 GMTNikola (getnikola.com)http://blogs.law.harvard.edu/tech/rss- Summary Notes: Bayes' Theoremhttps://dhruvs.space/posts/summary-notes-bayes-theorem/Dhruv Thakur<div><div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt">
</div><div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<p>I just started Udacity's <a href="https://in.udacity.com/course/intro-to-self-driving-car-nanodegree--nd113">Intro to Self Driving Cars Nanodegree</a> and the very first thing the instructors teach in it is Bayes' theorem. I read about it in school, but now's the time for me to really get into it, hence this <a href="https://dhruvs.space/pages/summary-note/">summary note</a>.</p>
</div>
</div>
</div>
<div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt">
</div><div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<p>Bayes' theorem gives a mathematical way to correct predictions about probability of an event, and move from prior belief to something more and more probable.</p>
<p>The intuition behind application of Bayes' theorem in probabilistic inference can be put as follows:</p>
<p><em>Given an initial prediction, if we gather additional related data, data that the initial prediction depends upon, we can improve that prediction.</em>
</p><p><a href="https://dhruvs.space/posts/summary-notes-bayes-theorem/">Read more…</a> (3 min remaining to read)</p></div></div></div></div>summary-noteshttps://dhruvs.space/posts/summary-notes-bayes-theorem/Thu, 14 Feb 2019 16:03:21 GMT