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<b><span style="font-size:18.0pt; font-family:"Tahoma","sans-serif"; color:maroon"><font color="#ffffff" style="background-color:rgb(128,0,0)"><font size="2"></font><font size="2"></font><br>
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<b><span style="font-size:18.0pt; font-family:"Tahoma","sans-serif"; color:maroon"><font color="#ffffff" size="5" style="background-color:rgb(128,0,0)">Bloomberg Tech Talk</font><font size="5" style="background-color:rgb(128,0,0)">:
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<b><span style="color:maroon"><font size="5">Predicting Impact of Breaking News on Finance through Machine Learning</font></span></b></p>
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<font color="#000000" size="4"><b>Hosted by the Computer Science and Artificial Intelligence Laboratory (CSAIL)</b></font></p>
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<p style="margin:0cm 0cm 0pt; text-align:justify; line-height:normal"><b><span style="font-size:12.0pt; font-family:"Tahoma","sans-serif"; color:black">Abstract:</span></b></p>
<p style="margin:0cm 0cm 0pt; text-align:justify; line-height:normal"><span style="font-size:12.0pt; font-family:"Tahoma","sans-serif"; color:black">In this talk, we will discuss how ML impacts financial markets, in particular the impact of NLP to trading strategy
development. The talk will focus on one of many ML/AI projects at Bloomberg: predicting impact of breaking news. This challenging task combines financial time series analysis and natural language processing, and requires a unique form of supervision. We will
discuss methods from deep learning, image processing, and time series analysis in context of this large scale sparse machine learning problem. We will also discuss practical issues in applying machine learning in strategy development and delivering machine
learning solutions to other problems of finance.</span></p>
<p style="margin:0cm 0cm 0pt; text-align:justify; line-height:normal"><span style="font-size:12.0pt; font-family:"Tahoma","sans-serif"; color:black">The talk will end with a Q&A session.</span></p>
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<p style="margin:0cm 0cm 0pt; text-align:justify; line-height:normal"><b><span style="font-size:12.0pt; font-family:"Tahoma","sans-serif"; color:black">Presenter: </span></b><span style="font-size:12.0pt; font-family:"Tahoma","sans-serif"; color:black">Gary
Kazantsev, Head of Machine Learning Engineering, Bloomberg</span></p>
<p style="margin:0cm 0cm 0pt; text-align:justify; line-height:normal"><span style="font-size:12.0pt; font-family:"Tahoma","sans-serif"; color:black">Gary Kazantsev is the Head of Machine Learning Engineering at Bloomberg. Before joining Bloomberg in 2007, Gary
earned Bachelor of Science degrees in physics, mathematics, and computer science at Boston University where he graduating with honors. He is also a member of the KDD Data Science + Journalism Workshop Program committee, a co-organizer of the annual Machine
Learning in Finance conference at Columbia University and is a lecturer at Cornell Tech.</span></p>
<p style="margin:0cm 0cm 0pt; text-align:justify; line-height:normal"><span style="font-size:12.0pt; font-family:"Tahoma","sans-serif"; color:#211D1E"> </span></p>
<p style="margin:0cm 0cm 0pt; text-align:justify; line-height:normal"><b><span style="color:maroon"><font size="4">Date and Time:</font></span></b><b><span style="color:black"><font size="4"> </font></span></b><span style="color:black"><font size="4">Monday,
</font><b><font size="4">November 27</font></b><font size="4">, 2017 @ </font><b><font size="4">4:00pm-5:00pm
</font></b></span></p>
<p style="margin:0cm 0cm 0pt; text-align:justify; line-height:normal"><b><span style="color:maroon"><font size="4">Location:</font></span></b><span style="color:rgb(33,29,30)"><font size="4">
</font></span><span style="color:black"><font size="4">Hewlett Room, 32-G882, Ray and Maria Stata Center</font></span></p>
<p style="margin:0cm 0cm 0pt; text-align:justify; line-height:normal"><b><span style="color:maroon"><font size="4">Registration:</font></span></b><span style="color:rgb(33,29,30)"><font size="4"> </font><a href="https://bloombergalliancestechtalk2017.eventbrite.com/" target="_blank"><span style="color:blue"><font size="4">here</font></span></a></span></p>
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