https://communities.sas.com/t5/SAS-News-and-Q-A/%ED%95%9C%EA%B5%AD%ED%86%B5%EA%B3%84%ED%95%99%ED%9A%8C%ED%95%99%EC%88%A0%EB%8C%80%ED%9A%8C-SAS-%EC%84%B8%EC%85%98-12%EC%9B%94-17%EC%9D%BC-Novel-Optimization-for-Deep-Learning-%EB%B0%8F/m-p/706177#M104 <P>(작성:&nbsp; SAS Korea 마케팅 유지혜 수석)</P> <P><SPAN>&nbsp;</SPAN></P> <P><SPAN>12</SPAN>월<SPAN> 17-18</SPAN>일 예정된 <SPAN><A href="https://nam02.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.kss.or.kr%2Fbbs%2Fboard.php%3Fbo_table%3Dnotice%26wr_id%3D1456&amp;data=04%7C01%7Cmegan.chung%40sas.com%7Cd803c66897f74b37b85b08d8a15881ae%7Cb1c14d5c362545b3a4309552373a0c2f%7C0%7C0%7C637436748873448866%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&amp;sdata=%2FBYw1SrpNK%2F3XneFI6ZUpgXHXJFEnDe5cZbg2o%2Bi7bs%3D&amp;reserved=0" target="_blank" rel="noopener">한국통계학회 추계학술대회</A></SPAN>에서&nbsp;<SPAN>SAS</SPAN>가 기획세션을 발표하고<SPAN>, </SPAN>‘<SPAN>SAS </SPAN>신진통계학자 학술논문상’을 후원합니다<SPAN>.</SPAN></P> <P><SPAN>&nbsp;</SPAN></P> <P>한국통계학회는 통계전문가들로 구성된 국내 최대 통계전문학회로<SPAN>, SAS</SPAN>와 오랜 기간 협력하고 있습니다<SPAN>.</SPAN></P> <P>이번 신진통계학자 논문상 후원을 계기로 신진 통계학자를 비롯한 통계전문가에게<SPAN> SAS</SPAN>가 보다 친숙한 이미지로 다가가고<SPAN>,</SPAN></P> <P>본사<SPAN> R&amp;D Yan Xu</SPAN>와 김광래<SPAN>/</SPAN>수석의 기획세션을 통해<SPAN> AI </SPAN>분석 리더십을 소개할 수 있을 것으로 기대합니다<SPAN>.</SPAN></P> <P><STRONG><SPAN>&nbsp;</SPAN></STRONG></P> <P><STRONG><SPAN>[</SPAN>한국통계학회 추계학술대회<SPAN>]</SPAN></STRONG></P> <UL> <LI><STRONG><SPAN>SAS </SPAN>참여 내용</STRONG></LI> </UL> <OL> <LI>‘<SPAN>SAS </SPAN>신진통계학자 학술논문상’ 후원</LI> <LI>‘<SPAN>SAS </SPAN>기획세션’ 발표</LI> </OL> <UL> <LI>일시<SPAN>: 12/17(</SPAN>목<SPAN>) 13:20~14:50</SPAN></LI> <LI><SPAN>Zoom</SPAN>으로 진행<SPAN> (<A href="https://nam02.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.kss.or.kr%2Fbbs%2Fboard.php%3Fbo_table%3Dfee&amp;data=04%7C01%7Cmegan.chung%40sas.com%7Cd803c66897f74b37b85b08d8a15881ae%7Cb1c14d5c362545b3a4309552373a0c2f%7C0%7C0%7C637436748873458867%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&amp;sdata=OQCFqXW%2BfM%2B193nS%2BuvZT6ATr0XUp%2FCcepCGTekqbsM%3D&amp;reserved=0" target="_blank" rel="noopener">사전등록</A>)</SPAN></LI> <LI>아젠다</LI> </UL> <TABLE> <TBODY> <TR> <TD width="319"> <P>제목</P> </TD> <TD width="198"> <P>발표자</P> </TD> </TR> <TR> <TD width="319"> <P><SPAN>Novel optimization methods for deep learning</SPAN></P> </TD> <TD width="198"> <P><SPAN>Yan Xu (SAS Institute R&amp;D)</SPAN></P> </TD> </TR> <TR> <TD width="319"> <P><SPAN>SAS AI-Enhanced Analytics- </SPAN>데이터 사이언스를 위한 새로운<SPAN> SAS AI Platform</SPAN></P> </TD> <TD width="198"> <P><SPAN>CA </SPAN>김광래<SPAN>/</SPAN>수석</P> </TD> </TR> </TBODY> </TABLE> <P><SPAN>&nbsp;</SPAN></P> <UL> <LI><STRONG>추계학술대회 전체 일정</STRONG></LI> </UL> <P><span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="MeganC_0-1608078658531.jpeg" style="width: 400px;"><img src="https://communities.sas.com/t5/image/serverpage/image-id/52655iBFE89998F9A9C343/image-size/medium?v=v2&amp;px=400" role="button" title="MeganC_0-1608078658531.jpeg" alt="MeganC_0-1608078658531.jpeg" /></span></P> <P>&nbsp;</P> <P><SPAN>&nbsp;</SPAN></P> <P>이번 기획세션에서 발표해주시는 김광래<SPAN>/</SPAN>수석께 감사 드립니다<SPAN>.</SPAN></P> <P>관련 문의가 있으신 분은 언제든지 저에게 말씀 주십시오. (문의:&nbsp;<A href="mailto:Elina.yoo@sas.com" target="_blank" rel="noopener">Elina.yoo@sas.com</A>)&nbsp;</P> Tue, 09 Nov 2021 16:28:50 GMT MeganC 2021-11-09T16:28:50Z https://communities.sas.com/t5/SAS-News-and-Q-A/%ED%95%9C%EA%B5%AD%ED%86%B5%EA%B3%84%ED%95%99%ED%9A%8C%ED%95%99%EC%88%A0%EB%8C%80%ED%9A%8C-SAS-%EC%84%B8%EC%85%98-12%EC%9B%94-17%EC%9D%BC-Novel-Optimization-for-Deep-Learning-%EB%B0%8F/m-p/706177#M104 <P>(작성:&nbsp; SAS Korea 마케팅 유지혜 수석)</P> <P><SPAN>&nbsp;</SPAN></P> <P><SPAN>12</SPAN>월<SPAN> 17-18</SPAN>일 예정된 <SPAN><A href="https://nam02.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.kss.or.kr%2Fbbs%2Fboard.php%3Fbo_table%3Dnotice%26wr_id%3D1456&amp;data=04%7C01%7Cmegan.chung%40sas.com%7Cd803c66897f74b37b85b08d8a15881ae%7Cb1c14d5c362545b3a4309552373a0c2f%7C0%7C0%7C637436748873448866%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&amp;sdata=%2FBYw1SrpNK%2F3XneFI6ZUpgXHXJFEnDe5cZbg2o%2Bi7bs%3D&amp;reserved=0" target="_blank" rel="noopener">한국통계학회 추계학술대회</A></SPAN>에서&nbsp;<SPAN>SAS</SPAN>가 기획세션을 발표하고<SPAN>, </SPAN>‘<SPAN>SAS </SPAN>신진통계학자 학술논문상’을 후원합니다<SPAN>.</SPAN></P> <P><SPAN>&nbsp;</SPAN></P> <P>한국통계학회는 통계전문가들로 구성된 국내 최대 통계전문학회로<SPAN>, SAS</SPAN>와 오랜 기간 협력하고 있습니다<SPAN>.</SPAN></P> <P>이번 신진통계학자 논문상 후원을 계기로 신진 통계학자를 비롯한 통계전문가에게<SPAN> SAS</SPAN>가 보다 친숙한 이미지로 다가가고<SPAN>,</SPAN></P> <P>본사<SPAN> R&amp;D Yan Xu</SPAN>와 김광래<SPAN>/</SPAN>수석의 기획세션을 통해<SPAN> AI </SPAN>분석 리더십을 소개할 수 있을 것으로 기대합니다<SPAN>.</SPAN></P> <P><STRONG><SPAN>&nbsp;</SPAN></STRONG></P> <P><STRONG><SPAN>[</SPAN>한국통계학회 추계학술대회<SPAN>]</SPAN></STRONG></P> <UL> <LI><STRONG><SPAN>SAS </SPAN>참여 내용</STRONG></LI> </UL> <OL> <LI>‘<SPAN>SAS </SPAN>신진통계학자 학술논문상’ 후원</LI> <LI>‘<SPAN>SAS </SPAN>기획세션’ 발표</LI> </OL> <UL> <LI>일시<SPAN>: 12/17(</SPAN>목<SPAN>) 13:20~14:50</SPAN></LI> <LI><SPAN>Zoom</SPAN>으로 진행<SPAN> (<A href="https://nam02.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.kss.or.kr%2Fbbs%2Fboard.php%3Fbo_table%3Dfee&amp;data=04%7C01%7Cmegan.chung%40sas.com%7Cd803c66897f74b37b85b08d8a15881ae%7Cb1c14d5c362545b3a4309552373a0c2f%7C0%7C0%7C637436748873458867%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&amp;sdata=OQCFqXW%2BfM%2B193nS%2BuvZT6ATr0XUp%2FCcepCGTekqbsM%3D&amp;reserved=0" target="_blank" rel="noopener">사전등록</A>)</SPAN></LI> <LI>아젠다</LI> </UL> <TABLE> <TBODY> <TR> <TD width="319"> <P>제목</P> </TD> <TD width="198"> <P>발표자</P> </TD> </TR> <TR> <TD width="319"> <P><SPAN>Novel optimization methods for deep learning</SPAN></P> </TD> <TD width="198"> <P><SPAN>Yan Xu (SAS Institute R&amp;D)</SPAN></P> </TD> </TR> <TR> <TD width="319"> <P><SPAN>SAS AI-Enhanced Analytics- </SPAN>데이터 사이언스를 위한 새로운<SPAN> SAS AI Platform</SPAN></P> </TD> <TD width="198"> <P><SPAN>CA </SPAN>김광래<SPAN>/</SPAN>수석</P> </TD> </TR> </TBODY> </TABLE> <P><SPAN>&nbsp;</SPAN></P> <UL> <LI><STRONG>추계학술대회 전체 일정</STRONG></LI> </UL> <P><span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="MeganC_0-1608078658531.jpeg" style="width: 400px;"><img src="https://communities.sas.com/t5/image/serverpage/image-id/52655iBFE89998F9A9C343/image-size/medium?v=v2&amp;px=400" role="button" title="MeganC_0-1608078658531.jpeg" alt="MeganC_0-1608078658531.jpeg" /></span></P> <P>&nbsp;</P> <P><SPAN>&nbsp;</SPAN></P> <P>이번 기획세션에서 발표해주시는 김광래<SPAN>/</SPAN>수석께 감사 드립니다<SPAN>.</SPAN></P> <P>관련 문의가 있으신 분은 언제든지 저에게 말씀 주십시오. (문의:&nbsp;<A href="mailto:Elina.yoo@sas.com" target="_blank" rel="noopener">Elina.yoo@sas.com</A>)&nbsp;</P> Tue, 09 Nov 2021 16:28:50 GMT https://communities.sas.com/t5/SAS-News-and-Q-A/%ED%95%9C%EA%B5%AD%ED%86%B5%EA%B3%84%ED%95%99%ED%9A%8C%ED%95%99%EC%88%A0%EB%8C%80%ED%9A%8C-SAS-%EC%84%B8%EC%85%98-12%EC%9B%94-17%EC%9D%BC-Novel-Optimization-for-Deep-Learning-%EB%B0%8F/m-p/706177#M104 MeganC 2021-11-09T16:28:50Z