Zobrazeno 1 - 10
of 265
pro vyhledávání: '"521"'
Autor:
Kim, Buomsoo (Raymond)1 rkim0927@iastate.edu, Srinivasan, Karthik2 karthiks@ku.edu, Kong, Sung Hye3 sh.chel@gmail.com, Kim, Jung Hee3 jhkxingfu@gmail.com, Shin, Chan Soo3 csshin@snu.ac.kr, Ram, Sudha4 sram@arizona.edu
Publikováno v:
MIS Quarterly. Sep2023, Vol. 47 Issue 3, p1303-1332. 30p. 4 Color Photographs, 8 Diagrams, 12 Charts, 3 Graphs.
Learning how to apply unsupervised algorithms on unlabeled datasets from scratch can be easier than you thought with this beginner's workshop, featuring interesting examples and activitiesKey FeaturesGet familiar with the ecosystem of unsupervised al
Autor:
Gui, Hongquan1,2 (AUTHOR), Liu, Jialan1,2 (AUTHOR), Ma, Chi1,2 (AUTHOR) chima@cqu.edu.cn, Li, Mengyuan1,2 (AUTHOR)
Publikováno v:
Journal of Intelligent Manufacturing. Mar2024, Vol. 35 Issue 3, p1173-1196. 24p.
Autor:
Tong, Biao1 (AUTHOR) 2111916035@e.gzhu.edu.cn, Fu, Jiyang1 (AUTHOR) jiyangfu@gzhu.edu.cn, Deng, Yaxue1 (AUTHOR) 2112116102@e.gzhu.edu.cn, Huang, Yongjun2 (AUTHOR) 2006500028@e.gzhu.edu.cn, Chan, Pakwai3 (AUTHOR) pwchan@hko.gov.hk, He, Yuncheng1 (AUTHOR) yuncheng@gzhu.edu.cn
Publikováno v:
Remote Sensing. Sep2023, Vol. 15 Issue 17, p4188. 26p.
Autor:
Zhang, Enze1 (AUTHOR) enze.zhang@austin.utexas.edu, Catania, Ginny1,2 (AUTHOR), Trugman, Daniel T.3 (AUTHOR)
Publikováno v:
Cryosphere. 2023, Vol. 17 Issue 8, p3485-3503. 19p.
Autor:
Jian-Bin Li1, Zu-Yu Chen2 chenzy@tsinghua.edu.cn, Xu Li3, Liu-Jie Jing4, Yun-Pei Zhang2, Hao-Han Xiao2, Shuang-Jing Wang4, Wen-Kun Yang5, Lei-Jie Wu3, Peng-Yu Li4, Hai-Bo Li3, Min Yao3, Li-Tao Fan6
Publikováno v:
Underground Space (2096-2754). Aug2023, Vol. 11, p26-45. 20p.
Autor:
Jian-Bin Li1, Zu-Yu Chen2 chenzy@tsinghua.edu.cn, Xu Li3, Liu-Jie Jing4, Yun-Pei Zhangf2, Hao-Han Xiao2, Shuang-Jing Wang4, Wen-Kun Yang5, Lei-Jie Wu3, Peng-Yu Li4, Hai-Bo Li3, Min Yao3, Li-Tao Fan6
Publikováno v:
Underground Space (2096-2754). Aug2023, Vol. 11, p1-25. 25p.
Master the techniques and sophisticated analytics used to construct Spark-based solutions that scale to deliver production-grade data science productsKey Features[•] Develop and apply advanced analytical techniques with Spark[•] Learn how to tell
Simplify machine learning model implementations with SparkAbout This BookSolve the day-to-day problems of data science with SparkThis unique cookbook consists of exciting and intuitive numerical recipesOptimize your work by acquiring, cleaning, analy
Autor:
Weixin Zhu1, Xin Du1, Kexin Lyu1, Zhichen Liu1, Shuangshuang Ren1, Shiwei Xiao1, Dongkwon Seong2 dongkwonseong@kookmin.ac.kr
Publikováno v:
Mediterranean Archaeology & Archaeometry. 2023, Vol. 23 Issue 3, p87-106. 20p.