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        <title>10 Must-Know Statistical Concepts for Data Scientists</title>
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        <itunes:author>Asik Abdullah</itunes:author>
        <itunes:summary>Data science is an interdisciplinary field. One of the building blocks of data science is statistics. Without a decent level of statistics knowledge, it would be highly difficult to understand or interpret the data.

Statistics helps us explain the data. We use statistics to infer results about a population based on a sample drawn from that population. Furthermore, machine learning and statistics have plenty of overlaps.

copyright: Medium</itunes:summary>
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            <itunes:name>Asik Abdullah</itunes:name>
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                <itunes:title>Must-Know Statistical Concepts for Data Scientists</itunes:title>
                <title>Must-Know Statistical Concepts for Data Scientists</title>

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                <itunes:author>Asik Abdullah</itunes:author>
                <itunes:subtitle>Data science is an interdisciplinary field. One of the building blocks of data science is statistics. Without a decent level of statistics knowledge, it would be highly difficult to understand or interpret the data.</itunes:subtitle>
                
                <description><![CDATA[<p>Data science is an interdisciplinary field. One of the building blocks of data science is statistics. Without a decent level of statistics knowledge, it would be highly difficult to understand or interpret the data.</p><p>Statistics helps us explain the data. We use statistics to infer results about a population based on a sample drawn from that population. Furthermore, machine learning and statistics have plenty of overlaps.</p><p>copyright: Soner Yıldırım</p>]]></description>
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                <pubDate>Thu, 20 May 2021 08:20:41 &#43;0000</pubDate>
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