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제목 [세미나/Amazon 리크루팅] Why your machine learning algorithm is slow
작성자 수업담당 작성일 2017-03-22
첨부파일 Amazon_DeepLearning.jpg (57281 Bytes)

[세미나/Amazon 리크루팅] Why your machine learning algorithm is slow


Title: Why your machine learning algorithm is slow

Speaker: Alex Smola (Director, Amazon Cloud Machine Learning Platform)

Possible to participate : undergraduate, graduate students

Time/Location: 3/24(Fri), 3:00pm-5:00pm, 화학관 #330110


Abstract: Scalable machine learning is not hard. But it is easy to overlook details that cost orders of magnitude in performance. In this talk, we will cover the basics of scalable data analysis for multicore, multi-machine and GPUs. In particular, we will go over recommender systems, computational advertising, and deep learning.

(본 세미나는 첨부와 같이 미국 Seattle, WA과 Palo Alto, CA에 위치한 Amazon의 Machine Learning Team의 리크루팅 행사를 겸하므로, 세미나 후 Amazon에 지원해보고 싶은 분들은 Dr. Smola와 이야기해볼 수 있습니다.)


Bio: Alex Smola studied physics in Munich at the University of Technology, Munich, at the Universita degli Studi di Pavia and at AT&T Research in Holmdel. In 1996 he received the Master degree at the University of Technology, Munich and in 1998 the Doctoral Degree in computer science at the University of Technology Berlin. After that, he worked as a Researcher and Group Leader at the Australian National University. From 2004-08 he worked as program leader at the Statistical Machine Learning Program at NICTA. From 2008 to 2012 he worked at Yahoo Research and from 2012–2014 at Google Research. He joined the Carnegie Mello University faculty in 2013 as a professor. After cofounding Marianas Labs in 2015 he now works at Amazon Web Services as Director of Machine Learning. He has written over 200 papers and several books.