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	<title>ml | Down Home Country Coding With Scott Selikoff and Jeanne Boyarsky</title>
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		<title>[2023 kcdc] data leakage &#8211; why your ML model knows too much</title>
		<link>https://www.selikoff.net/2023/06/23/2023-kcdc-data-leakage-why-your-ml-model-knows-too-much/</link>
					<comments>https://www.selikoff.net/2023/06/23/2023-kcdc-data-leakage-why-your-ml-model-knows-too-much/#respond</comments>
		
		<dc:creator><![CDATA[Jeanne Boyarsky]]></dc:creator>
		<pubDate>Fri, 23 Jun 2023 14:52:50 +0000</pubDate>
				<category><![CDATA[Conferences]]></category>
		<category><![CDATA[machine-learning]]></category>
		<category><![CDATA[ml]]></category>
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					<description><![CDATA[<p>Speaker: Leah Berg For more, see the table of contents. Notes Data Leakage How models learn Don&#8217;t include data from the future Don&#8217;t randomly split groups Don&#8217;t forget your data is a snapshot Don&#8217;t randomly split data when retraining Split data &#8230; <a href="https://www.selikoff.net/2023/06/23/2023-kcdc-data-leakage-why-your-ml-model-knows-too-much/">Continue reading <span class="meta-nav">&#8594;</span></a></p>
The post <a href="https://www.selikoff.net/2023/06/23/2023-kcdc-data-leakage-why-your-ml-model-knows-too-much/">[2023 kcdc] data leakage – why your ML model knows too much</a> first appeared on <a href="https://www.selikoff.net">Down Home Country Coding With Scott Selikoff and Jeanne Boyarsky</a>.<hr style="border-top: black solid 1px" /><a href="https://www.selikoff.net/2023/06/23/2023-kcdc-data-leakage-why-your-ml-model-knows-too-much/">[2023 kcdc] data leakage &#8211; why your ML model knows too much</a> was first posted on June 23, 2023 at 10:52 am.<br />&copy;2019 &quot;<a href="https://www.selikoff.net">Down Home Country Coding With Scott Selikoff and Jeanne Boyarsky</a>&quot;. Use of this feed is for personal non-commercial use only. If you are not reading this article in your feed reader, then the site is guilty of copyright infringement. Please contact me at <!--email_off-->scott@selikoff.net<!--/email_off--><br />]]></description>
		
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		<post-id xmlns="com-wordpress:feed-additions:1">16796</post-id>	</item>
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		<title>[2023 kcdc] the elephant in your data set &#8211; avoid bias in machine learning</title>
		<link>https://www.selikoff.net/2023/06/22/2023-kcdc-the-elephant-in-your-data-set-avoid-bias-in-machine-learning/</link>
					<comments>https://www.selikoff.net/2023/06/22/2023-kcdc-the-elephant-in-your-data-set-avoid-bias-in-machine-learning/#respond</comments>
		
		<dc:creator><![CDATA[Jeanne Boyarsky]]></dc:creator>
		<pubDate>Thu, 22 Jun 2023 20:47:06 +0000</pubDate>
				<category><![CDATA[Conferences]]></category>
		<category><![CDATA[ethics]]></category>
		<category><![CDATA[ml]]></category>
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					<description><![CDATA[<p>Speaker: Michelle Frost For more, see the table of contents. Notes Points of bias Simpson&#8217;s paradox Terms Metrics Demo Book recommendations My take The types of bias and examples were interesting. Good end to the day. The demo graphs provided the &#8230; <a href="https://www.selikoff.net/2023/06/22/2023-kcdc-the-elephant-in-your-data-set-avoid-bias-in-machine-learning/">Continue reading <span class="meta-nav">&#8594;</span></a></p>
The post <a href="https://www.selikoff.net/2023/06/22/2023-kcdc-the-elephant-in-your-data-set-avoid-bias-in-machine-learning/">[2023 kcdc] the elephant in your data set – avoid bias in machine learning</a> first appeared on <a href="https://www.selikoff.net">Down Home Country Coding With Scott Selikoff and Jeanne Boyarsky</a>.<hr style="border-top: black solid 1px" /><a href="https://www.selikoff.net/2023/06/22/2023-kcdc-the-elephant-in-your-data-set-avoid-bias-in-machine-learning/">[2023 kcdc] the elephant in your data set &#8211; avoid bias in machine learning</a> was first posted on June 22, 2023 at 4:47 pm.<br />&copy;2019 &quot;<a href="https://www.selikoff.net">Down Home Country Coding With Scott Selikoff and Jeanne Boyarsky</a>&quot;. Use of this feed is for personal non-commercial use only. If you are not reading this article in your feed reader, then the site is guilty of copyright infringement. Please contact me at <!--email_off-->scott@selikoff.net<!--/email_off--><br />]]></description>
		
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		<post-id xmlns="com-wordpress:feed-additions:1">16766</post-id>	</item>
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		<title>[2023 kcdc] data science: zero to hero</title>
		<link>https://www.selikoff.net/2023/06/21/2023-kcdc-data-science-zero-to-hero/</link>
					<comments>https://www.selikoff.net/2023/06/21/2023-kcdc-data-science-zero-to-hero/#respond</comments>
		
		<dc:creator><![CDATA[Jeanne Boyarsky]]></dc:creator>
		<pubDate>Wed, 21 Jun 2023 12:59:02 +0000</pubDate>
				<category><![CDATA[Conferences]]></category>
		<category><![CDATA[ai]]></category>
		<category><![CDATA[data]]></category>
		<category><![CDATA[ml]]></category>
		<guid isPermaLink="false">https://www.selikoff.net/?p=16682</guid>

					<description><![CDATA[<p>Speaker: Gary Short Twitter; @garyshort Repo for presentation/samples: https://github.com/garyshort/kcdc2023 For more, see the table of contents. Data science overview/rules Types of data Structured Semi structured Unstructured Graph AI/ML works on data types Can only do math with ordinal and ratio &#8230; <a href="https://www.selikoff.net/2023/06/21/2023-kcdc-data-science-zero-to-hero/">Continue reading <span class="meta-nav">&#8594;</span></a></p>
The post <a href="https://www.selikoff.net/2023/06/21/2023-kcdc-data-science-zero-to-hero/">[2023 kcdc] data science: zero to hero</a> first appeared on <a href="https://www.selikoff.net">Down Home Country Coding With Scott Selikoff and Jeanne Boyarsky</a>.<hr style="border-top: black solid 1px" /><a href="https://www.selikoff.net/2023/06/21/2023-kcdc-data-science-zero-to-hero/">[2023 kcdc] data science: zero to hero</a> was first posted on June 21, 2023 at 8:59 am.<br />&copy;2019 &quot;<a href="https://www.selikoff.net">Down Home Country Coding With Scott Selikoff and Jeanne Boyarsky</a>&quot;. Use of this feed is for personal non-commercial use only. If you are not reading this article in your feed reader, then the site is guilty of copyright infringement. Please contact me at <!--email_off-->scott@selikoff.net<!--/email_off--><br />]]></description>
		
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