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	<title>research Archives - Petamind</title>
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		<title>How to Write a Research Question</title>
		<link>https://petaminds.com/how-to-write-a-research-question/</link>
					<comments>https://petaminds.com/how-to-write-a-research-question/#respond</comments>
		
		<dc:creator><![CDATA[Tung Nguyen]]></dc:creator>
		<pubDate>Tue, 30 Nov 2021 22:13:00 +0000</pubDate>
				<category><![CDATA[data science]]></category>
		<category><![CDATA[Project]]></category>
		<category><![CDATA[Research]]></category>
		<category><![CDATA[question]]></category>
		<category><![CDATA[research]]></category>
		<category><![CDATA[scientific]]></category>
		<category><![CDATA[writing]]></category>
		<guid isPermaLink="false">https://petaminds.com/?p=3583</guid>

					<description><![CDATA[<p>The research question, if correctly completed, will help you to set out what it is that you want to answer. This can help you make a plan for your research, but might also help you to foresee any potential challenges or problems. This will save you time, energy, and effort. Therefore, it is extremely important [&#8230;]</p>
<p>The post <a href="https://petaminds.com/how-to-write-a-research-question/">How to Write a Research Question</a> appeared first on <a href="https://petaminds.com">Petamind</a>.</p>
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		<title>Feature Engineering FundamentalS</title>
		<link>https://petaminds.com/feature-engineering-fundamentals/</link>
					<comments>https://petaminds.com/feature-engineering-fundamentals/#respond</comments>
		
		<dc:creator><![CDATA[Tung Nguyen]]></dc:creator>
		<pubDate>Tue, 22 Sep 2020 11:20:23 +0000</pubDate>
				<category><![CDATA[data science]]></category>
		<category><![CDATA[Research]]></category>
		<category><![CDATA[engineering]]></category>
		<category><![CDATA[feature]]></category>
		<category><![CDATA[one-hot]]></category>
		<category><![CDATA[research]]></category>
		<category><![CDATA[scaling]]></category>
		<category><![CDATA[split]]></category>
		<category><![CDATA[standardization]]></category>
		<guid isPermaLink="false">https://petaminds.com/?p=2714</guid>

					<description><![CDATA[<p>The features you use influence more than everything else the result. No algorithm alone, to my knowledge, can supplement the information gain given by correct&#160;feature engineering. — Luca Massaron What is a feature and why we need engineering of it? Basically, all machine learning algorithms use some input data to create outputs. This input data [&#8230;]</p>
<p>The post <a href="https://petaminds.com/feature-engineering-fundamentals/">Feature Engineering FundamentalS</a> appeared first on <a href="https://petaminds.com">Petamind</a>.</p>
]]></description>
		
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		<title>Research Design: Definition, Characteristics and Types</title>
		<link>https://petaminds.com/research-design-definition-characteristics-and-types/</link>
					<comments>https://petaminds.com/research-design-definition-characteristics-and-types/#respond</comments>
		
		<dc:creator><![CDATA[Tung Nguyen]]></dc:creator>
		<pubDate>Sun, 14 Jun 2020 00:36:20 +0000</pubDate>
				<category><![CDATA[Project]]></category>
		<category><![CDATA[Research]]></category>
		<category><![CDATA[design]]></category>
		<category><![CDATA[research]]></category>
		<guid isPermaLink="false">https://petaminds.com/?p=2643</guid>

					<description><![CDATA[<p>A&#160;research design&#160;is the set of methods and procedures used in collecting and analyzing measures of the variables specified in the problem&#160;research. The design of a study defines the study type (descriptive, correlational, semi-experimental, experimental, review, meta-analytic) and sub-type (e.g., descriptive-longitudinal&#160;case study),&#160;research problem,&#160;hypotheses,&#160;independent and dependent variables,&#160;experimental design, and, if applicable, data collection methods and a statistical [&#8230;]</p>
<p>The post <a href="https://petaminds.com/research-design-definition-characteristics-and-types/">Research Design: Definition, Characteristics and Types</a> appeared first on <a href="https://petaminds.com">Petamind</a>.</p>
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		<title>The evolution of Trust &#8211; Fun game theory</title>
		<link>https://petaminds.com/the-evolution-of-trust-fun/</link>
					<comments>https://petaminds.com/the-evolution-of-trust-fun/#respond</comments>
		
		<dc:creator><![CDATA[Tung Nguyen]]></dc:creator>
		<pubDate>Wed, 17 Jul 2019 02:35:05 +0000</pubDate>
				<category><![CDATA[front-end]]></category>
		<category><![CDATA[Game Dev]]></category>
		<category><![CDATA[Project]]></category>
		<category><![CDATA[Research]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[game]]></category>
		<category><![CDATA[intelligent agent]]></category>
		<category><![CDATA[research]]></category>
		<category><![CDATA[trust]]></category>
		<guid isPermaLink="false">http://petaminds.com/?p=554</guid>

					<description><![CDATA[<p>Intro Game theory is the study of mathematical models of strategic interaction between rational decision-makers. It has applications in all fields of social science, as well as in logic and computer science [1]. In many AI application, e.g. multi-agent systems, this theory plays a very important role in agent&#8217; reasoning. Please note that this theory is [&#8230;]</p>
<p>The post <a href="https://petaminds.com/the-evolution-of-trust-fun/">The evolution of Trust &#8211; Fun game theory</a> appeared first on <a href="https://petaminds.com">Petamind</a>.</p>
]]></description>
		
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