鄭世昐/未來城市的任意門 (Mobility on Demand for Future Cities)台灣資料科學年會
Shih-Fen Cheng is Associate Professor of Information Systems and Deputy Director of the Fujitsu-SMU Urban Computing and Engineering Corp Lab at the Singapore Management University. He received his Ph.D. degree in industrial and operations engineering from the University of Michigan, Ann Arbor, and B.S.E. degree in mechanical engineering from the National Taiwan University.
His research focuses on the modeling and optimization of complex systems in engineering and business domains. He is particularly interested in the application areas of transportation, computational markets, and human decision-making. He is a member of INFORMS, AAAI, and IEEE, and serves as Area Editor for Electronic Commerce Research and Applications.
鄭世昐/未來城市的任意門 (Mobility on Demand for Future Cities)台灣資料科學年會
Shih-Fen Cheng is Associate Professor of Information Systems and Deputy Director of the Fujitsu-SMU Urban Computing and Engineering Corp Lab at the Singapore Management University. He received his Ph.D. degree in industrial and operations engineering from the University of Michigan, Ann Arbor, and B.S.E. degree in mechanical engineering from the National Taiwan University.
His research focuses on the modeling and optimization of complex systems in engineering and business domains. He is particularly interested in the application areas of transportation, computational markets, and human decision-making. He is a member of INFORMS, AAAI, and IEEE, and serves as Area Editor for Electronic Commerce Research and Applications.
Polong Lin(林伯龍)/how to approach data science problems from start to end台灣資料科學年會
Polong Lin is a Data Scientist at IBM. He is a regular speaker on data science and develops content for free data education on bigdatauniversity.com using open data tools on datascientistworkbench.com. Polong earned his M.Sc. at the Univ. of Tsukuba.
Shou-de Lin is currently a full professor in the CSIE department of National Taiwan University. He holds a BS in EE department from National Taiwan University, an MS-EE from the University of Michigan, and an MS in Computational Linguistics and PhD in Computer Science both from the University of Southern California. He leads the Machine Discovery and Social Network Mining Lab in NTU. Before joining NTU, he was a post-doctoral research fellow at the Los Alamos National Lab. Prof. Lin's research includes the areas of machine learning and data mining, social network analysis, and natural language processing. His international recognition includes the best paper award in IEEE Web Intelligent conference 2003, Google Research Award in 2007, Microsoft research award in 2008, merit paper award in TAAI 2010, best paper award in ASONAM 2011, US Aerospace AFOSR/AOARD research award winner for 5 years. He is the all-time winners in ACM KDD Cup, leading or co-leading the NTU team to win 5 championships. He also leads a team to win WSDM Cup 2016 Champion. He has served as the senior PC for SIGKDD and area chair for ACL. He is currently the associate editor for International Journal on Social Network Mining, Journal of Information Science and Engineering, and International Journal of Computational Linguistics and Chinese Language Processing. He receives the Young Scholars' Creativity Award from Foundation for the Advancement of Outstanding Scholarship and Ta-You Wu Memorial Award.
在這資料科學逐漸成為顯學的年代,無論面對的是資料的幾個 V,其中最重要的永遠都是 Value (價值) 這個 V,而資料探勘正是一種透過系統化的方式釐清資料的脈絡、找出其中有價值的特徵與相關性的技術。這門六小時的課程,將從最實務的角度切入,與大家分享如何將現實中極待解決的問題,轉換成可以利用資料探勘技術處理的問題,並且運用 R 語言中各種強大的工具,進行關聯性分析、迴歸分析以及叢聚分析,以達成將資料中隱藏的資訊挖掘出來的最終目標。
在此課程中將帶領對資料分析感到陌生卻又充滿興趣的您,完整地學會運用 R 語言從最初的蒐集資料、探索性分析解讀資料,並進行文字探勘,發現那些肉眼看不見、隱藏在資料底下的意義。此課程主要設計給對於 R 語言有基本認識,想要進一步熟悉實作分析的朋友們,希望在課程結束後,您能夠更熟悉 R 語言這個豐富的分析工具。透過蘋果日報慈善捐款的資料集,了解如何從頭解析網頁,撰寫爬蟲自動化收集資訊;取得資料後,能夠靈活處理資料,做清洗、整合及探索;並利用現成的套件進行文字探勘、文本解析;我們將一步步實際走一回資料分析的歷程,處理、觀察、解構資料,試著看看人們在捐款的決策過程中,究竟是什麼因素產生了影響,以及這些結果又是如何從資料中挖掘而出的呢?
謝宗震 ,DSP 智庫驅動資料科學家,清華統計博士,對於統計方法與工具的推廣具有極大的熱忱,期望利用統計思維及分析工具幫助各個領域解決問題。輔導超過 300 位政府、企業、非營利組織人士成為資料分析人才。 Data for Social Good (D4SG) 計畫共同發起人,打造一個「資料力,做公益」的交流與媒合平台。
江振宇/It's Not What You Say: It's How You Say It!台灣資料科學年會
Chen-Yu Chiang was born in Taipei, Taiwan, in 1980. He received the B.S., M.S., Ph.D. degrees in communication engineering from National Chiao Tung University (NCTU), Hsinchu, Taiwan, in 2002, 2004, and 2009, respectively. In 2009, he was a Postdoctoral Fellow at the Department of Electrical Engineering, NCTU, where he primarily worked on prosody modeling for automatic speech recognition and text-to-speech system, under the guidance of Prof. Sin-Horng Chen. In 2012, he was a Visiting Scholar at the Center for Signal and Image Processing (CSIP), Georgia Institute of Technology, Atlanta. Currently he is the director of the Speech and Multimedia Signal Processing Lab and an assistant professor at the Department of Communication Engineering, National Taipei University. His main research interests are in speech processing, in particular prosody modeling, automatic speech recognition and text-to-speech systems.
Yi-Hsuan Yang is an Associate Research Fellow with Academia Sinica. He received his Ph.D. degree in Communication Engineering from National Taiwan University in 2010, and became an Assistant Research Fellow in Academia Sinica in 2011. He is also an Adjunct Associate Professor with the National Tsing Hua University, Taiwan. His research interests include music information retrieval, machine learning and affective computing. Dr. Yang was a recipient of the 2011 IEEE Signal Processing Society (SPS) Young Author Best Paper Award, the 2012 ACM Multimedia Grand Challenge First Prize, and the 2014 Ta-You Wu Memorial Research Award of the Ministry of Science and Technology, Taiwan. He is an author of the book Music Emotion Recognition (CRC Press 2011) and a tutorial speaker on music affect recognition in the International Society for Music Information Retrieval Conference (ISMIR 2012). In 2014, he served as a Technical Program Co-chair of ISMIR, and a Guest Editor of the IEEE Transactions on Affective Computing and the ACM Transactions on Intelligent Systems and Technology.
Jane Hsu is a professor and department chair of Computer Science and Information Engineering at National Taiwan University. Her research interests include multi-agent systems, intelligent data analysis, commonsense knowledge, and context-aware computing. Prof. Hsu is the director of the Intel-NTU Connected Context Computing Center, featuring global research collaboration among NTU, Intel, and the National Science Council of Taiwan. She serves on the editorial board of Journal of Information Science and Engineering (2010-), International Journal of Service Oriented Computing and Applications (Springer, 2007-2009) and Intelligent Data Analysis (Elsevier/IOS Press, 1997-2002). She is actively involved in many key international AI conferences as organizers and members of the program committee. In addition to serving as the President of Taiwanese Association for Artificial Intelligence (2013-2014), Prof. Hsu has been a member of AAAI, IEEE, ACM, Phi Tau Phi, and an executive committee member of the IEEE Technical Committee on E-Commerce (2000) and TAAI (2004-current).
Polong Lin(林伯龍)/how to approach data science problems from start to end台灣資料科學年會
Polong Lin is a Data Scientist at IBM. He is a regular speaker on data science and develops content for free data education on bigdatauniversity.com using open data tools on datascientistworkbench.com. Polong earned his M.Sc. at the Univ. of Tsukuba.
Shou-de Lin is currently a full professor in the CSIE department of National Taiwan University. He holds a BS in EE department from National Taiwan University, an MS-EE from the University of Michigan, and an MS in Computational Linguistics and PhD in Computer Science both from the University of Southern California. He leads the Machine Discovery and Social Network Mining Lab in NTU. Before joining NTU, he was a post-doctoral research fellow at the Los Alamos National Lab. Prof. Lin's research includes the areas of machine learning and data mining, social network analysis, and natural language processing. His international recognition includes the best paper award in IEEE Web Intelligent conference 2003, Google Research Award in 2007, Microsoft research award in 2008, merit paper award in TAAI 2010, best paper award in ASONAM 2011, US Aerospace AFOSR/AOARD research award winner for 5 years. He is the all-time winners in ACM KDD Cup, leading or co-leading the NTU team to win 5 championships. He also leads a team to win WSDM Cup 2016 Champion. He has served as the senior PC for SIGKDD and area chair for ACL. He is currently the associate editor for International Journal on Social Network Mining, Journal of Information Science and Engineering, and International Journal of Computational Linguistics and Chinese Language Processing. He receives the Young Scholars' Creativity Award from Foundation for the Advancement of Outstanding Scholarship and Ta-You Wu Memorial Award.
在這資料科學逐漸成為顯學的年代,無論面對的是資料的幾個 V,其中最重要的永遠都是 Value (價值) 這個 V,而資料探勘正是一種透過系統化的方式釐清資料的脈絡、找出其中有價值的特徵與相關性的技術。這門六小時的課程,將從最實務的角度切入,與大家分享如何將現實中極待解決的問題,轉換成可以利用資料探勘技術處理的問題,並且運用 R 語言中各種強大的工具,進行關聯性分析、迴歸分析以及叢聚分析,以達成將資料中隱藏的資訊挖掘出來的最終目標。
在此課程中將帶領對資料分析感到陌生卻又充滿興趣的您,完整地學會運用 R 語言從最初的蒐集資料、探索性分析解讀資料,並進行文字探勘,發現那些肉眼看不見、隱藏在資料底下的意義。此課程主要設計給對於 R 語言有基本認識,想要進一步熟悉實作分析的朋友們,希望在課程結束後,您能夠更熟悉 R 語言這個豐富的分析工具。透過蘋果日報慈善捐款的資料集,了解如何從頭解析網頁,撰寫爬蟲自動化收集資訊;取得資料後,能夠靈活處理資料,做清洗、整合及探索;並利用現成的套件進行文字探勘、文本解析;我們將一步步實際走一回資料分析的歷程,處理、觀察、解構資料,試著看看人們在捐款的決策過程中,究竟是什麼因素產生了影響,以及這些結果又是如何從資料中挖掘而出的呢?
謝宗震 ,DSP 智庫驅動資料科學家,清華統計博士,對於統計方法與工具的推廣具有極大的熱忱,期望利用統計思維及分析工具幫助各個領域解決問題。輔導超過 300 位政府、企業、非營利組織人士成為資料分析人才。 Data for Social Good (D4SG) 計畫共同發起人,打造一個「資料力,做公益」的交流與媒合平台。
江振宇/It's Not What You Say: It's How You Say It!台灣資料科學年會
Chen-Yu Chiang was born in Taipei, Taiwan, in 1980. He received the B.S., M.S., Ph.D. degrees in communication engineering from National Chiao Tung University (NCTU), Hsinchu, Taiwan, in 2002, 2004, and 2009, respectively. In 2009, he was a Postdoctoral Fellow at the Department of Electrical Engineering, NCTU, where he primarily worked on prosody modeling for automatic speech recognition and text-to-speech system, under the guidance of Prof. Sin-Horng Chen. In 2012, he was a Visiting Scholar at the Center for Signal and Image Processing (CSIP), Georgia Institute of Technology, Atlanta. Currently he is the director of the Speech and Multimedia Signal Processing Lab and an assistant professor at the Department of Communication Engineering, National Taipei University. His main research interests are in speech processing, in particular prosody modeling, automatic speech recognition and text-to-speech systems.
Yi-Hsuan Yang is an Associate Research Fellow with Academia Sinica. He received his Ph.D. degree in Communication Engineering from National Taiwan University in 2010, and became an Assistant Research Fellow in Academia Sinica in 2011. He is also an Adjunct Associate Professor with the National Tsing Hua University, Taiwan. His research interests include music information retrieval, machine learning and affective computing. Dr. Yang was a recipient of the 2011 IEEE Signal Processing Society (SPS) Young Author Best Paper Award, the 2012 ACM Multimedia Grand Challenge First Prize, and the 2014 Ta-You Wu Memorial Research Award of the Ministry of Science and Technology, Taiwan. He is an author of the book Music Emotion Recognition (CRC Press 2011) and a tutorial speaker on music affect recognition in the International Society for Music Information Retrieval Conference (ISMIR 2012). In 2014, he served as a Technical Program Co-chair of ISMIR, and a Guest Editor of the IEEE Transactions on Affective Computing and the ACM Transactions on Intelligent Systems and Technology.
Jane Hsu is a professor and department chair of Computer Science and Information Engineering at National Taiwan University. Her research interests include multi-agent systems, intelligent data analysis, commonsense knowledge, and context-aware computing. Prof. Hsu is the director of the Intel-NTU Connected Context Computing Center, featuring global research collaboration among NTU, Intel, and the National Science Council of Taiwan. She serves on the editorial board of Journal of Information Science and Engineering (2010-), International Journal of Service Oriented Computing and Applications (Springer, 2007-2009) and Intelligent Data Analysis (Elsevier/IOS Press, 1997-2002). She is actively involved in many key international AI conferences as organizers and members of the program committee. In addition to serving as the President of Taiwanese Association for Artificial Intelligence (2013-2014), Prof. Hsu has been a member of AAAI, IEEE, ACM, Phi Tau Phi, and an executive committee member of the IEEE Technical Committee on E-Commerce (2000) and TAAI (2004-current).