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The AI Lunch Series will be hosting Dr. Pete Alonzi (UVA) this Wednesday for a presentation on<span> </span><i>“What Entropy and Impedance Mean in Data Science”</i>. Additional information can be found at:<span style="margin:0px"> </span><a href="https://www.jlab.org/AI/lunch_series/2020" target="_blank" rel="noopener noreferrer" data-auth="NotApplicable" style="margin:0px">https://www.jlab.org/AI/lunch_series/2020</a> </div>
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12-1PM, Wednesday, November 18, 2020</div>
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Join with Bluejeans: <span style="margin:0px;font-size:11pt;line-height:15.6933px;font-family:Calibri, sans-serif"><span style="margin:0px;font-family:"Calibri Light", sans-serif"><a href="https://bluejeans.com/990782096" target="_blank" rel="noopener noreferrer" data-auth="NotApplicable" style="margin:0px">https://bluejeans.com/990782096</a> </span></span></div>
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Abstract: “Today every grant proposal seems to demand "interdisciplinarity". This talk is about how to think interdisciplinarialy between Physics and Data Science. The fundamental pieces of Data Science thinking will be laid out starting from the 4+1 model
developed by Alvarado. The universal pipeline theory will be presented along with how the concepts of Entropy and Impedance are used to understand the scope of any given pipeline. We will conclude with a discussion of how using these Data Science concepts
overlapped with Physics investigation can produce enhanced results.”<br>
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<span style="margin: 0px; font-size: 15px; color: rgb(0, 0, 0); background-color: white;">If you have questions, contact tennant@jlab.org </span><br>
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