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		<title>WHAT IS P-VALUE?</title>
		<link>https://petaminds.com/what-is-p-value/</link>
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		<dc:creator><![CDATA[Tung Nguyen]]></dc:creator>
		<pubDate>Sat, 30 Jan 2021 00:43:00 +0000</pubDate>
				<category><![CDATA[data science]]></category>
		<category><![CDATA[math]]></category>
		<category><![CDATA[p-value]]></category>
		<category><![CDATA[statistics]]></category>
		<guid isPermaLink="false">https://petaminds.com/?p=2901</guid>

					<description><![CDATA[<p>In statistics, the p-value is the probability of obtaining results at least as extreme as the observed results of a statistical hypothesis test, assuming that the null hypothesis is correct. The p-value is used as an alternative to rejection points of significance at which the null hypothesis would be rejected. A smaller p-value means that there is stronger [&#8230;]</p>
<p>The post <a href="https://petaminds.com/what-is-p-value/">WHAT IS P-VALUE?</a> appeared first on <a href="https://petaminds.com">Petamind</a>.</p>
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		<title>Welcome 2021 with some fun</title>
		<link>https://petaminds.com/welcome-2021-with-some-fun/</link>
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		<dc:creator><![CDATA[Tung Nguyen]]></dc:creator>
		<pubDate>Tue, 12 Jan 2021 21:58:06 +0000</pubDate>
				<category><![CDATA[data science]]></category>
		<category><![CDATA[full-stack]]></category>
		<category><![CDATA[Game Dev]]></category>
		<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[2021]]></category>
		<category><![CDATA[fun]]></category>
		<category><![CDATA[math]]></category>
		<guid isPermaLink="false">https://petaminds.com/?p=2878</guid>

					<description><![CDATA[<p>Wonder how these kids are doing now? Their answers are brilliantly fun. Some are typical examples of out of box thinking and it is really good for creativity. Imagination is more important than knowledge Albert Einstein Image credits: Douglass Source:&#160;msxlabs.org Source:&#160;librarything.com</p>
<p>The post <a href="https://petaminds.com/welcome-2021-with-some-fun/">Welcome 2021 with some fun</a> appeared first on <a href="https://petaminds.com">Petamind</a>.</p>
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		<title>Math for ML &#8211; Vector norms quick note</title>
		<link>https://petaminds.com/math-for-ml-vector-norms-quick-note/</link>
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		<dc:creator><![CDATA[Tung Nguyen]]></dc:creator>
		<pubDate>Fri, 06 Dec 2019 01:33:58 +0000</pubDate>
				<category><![CDATA[data science]]></category>
		<category><![CDATA[math]]></category>
		<category><![CDATA[l1]]></category>
		<category><![CDATA[l2]]></category>
		<category><![CDATA[norm]]></category>
		<category><![CDATA[p-norm]]></category>
		<category><![CDATA[vector]]></category>
		<guid isPermaLink="false">https://petaminds.com/?p=1971</guid>

					<description><![CDATA[<p>Vector norms are used in many machine learning and computer science problems. This article covers some common norms and related applications. From a high school entrance exam&#8230; Remember the day (?/?/1998) when I took an exam to a high school, there was a problem of finding the shortest path from A to B knowing that [&#8230;]</p>
<p>The post <a href="https://petaminds.com/math-for-ml-vector-norms-quick-note/">Math for ML &#8211; Vector norms quick note</a> appeared first on <a href="https://petaminds.com">Petamind</a>.</p>
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		<title>Math for ML &#8211; Linear dependence &#038; Linear Equation</title>
		<link>https://petaminds.com/math-for-ml-linear-dependence-linear-equation/</link>
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		<dc:creator><![CDATA[Tung Nguyen]]></dc:creator>
		<pubDate>Sun, 06 Jan 2019 21:48:00 +0000</pubDate>
				<category><![CDATA[data science]]></category>
		<category><![CDATA[math]]></category>
		<category><![CDATA[linear dependence]]></category>
		<category><![CDATA[span]]></category>
		<guid isPermaLink="false">https://petaminds.com/?p=1703</guid>

					<description><![CDATA[<p>Continue with math for machine learning, this article will give a quick note on definition of linear dependence and demonstration with python. Linear Dependence In the theory of&#160;vector spaces, a&#160;set&#160;of&#160;vectors&#160;is said to be&#160;linearly dependent&#160;if at least one of the vectors in the set can be defined as a&#160;linear combination&#160;of the others; if no vector in [&#8230;]</p>
<p>The post <a href="https://petaminds.com/math-for-ml-linear-dependence-linear-equation/">Math for ML &#8211; Linear dependence &#038; Linear Equation</a> appeared first on <a href="https://petaminds.com">Petamind</a>.</p>
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