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LikeSNU에서 의미기반으로 분석하여 연관된 자료를 추천해드립니다.
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Multidimensional data visualization : methods and applications
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Meta-learning in computational intelligence
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Visualization in Scientific Computing '98 : proceedings of the Eurographics workshop in Blaubeuren, Germany, April 20-22, 1998
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파이썬을 이용한 통계적 머신러닝
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Feature engineering for machine learning : principles and techniques for data scientists
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Design of video quality metrics with multi-way data analysis :
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빅데이터 이해와 활용
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Machine learning and data mining in pattern recognition : first international workshop, MLDM'99, Leipzig, Germany, September 16-18, 1999 : proceedings
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Parallel coordinates : visual multidimensional geometry and its applications
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(밑바닥부터 시작하는) 데이터 과학 : 데이터 분석을 위한 파이썬 프로그래밍과 수학ㆍ통계 기초
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Engineering applications of bio-inspired artificial neural networks ; International Work-Conference on Artificial and Natural Neural Networks, IWANN'99, :proceedings
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SAS Viya 기반의 실무에 바로 적용하는 머신러닝
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R로 쉽게 시작하는 빅데이터 분석
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Intelligent Data Engineering and Automated Learning IDEAL 2000 : data mining, financial engineering, and intelligent agent : second international conference, Shatin, N.T., Hong Kong, China, December 13-15, 2000 : preceeding
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Machine learning with pytorch and scikit-learn : develop machine learning and deep learning models with python
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Multivariate nonparametric regression and visualization : with R and applications to finance
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Advanced topics in artificial intelligence : 12th Australian Joint Conference on Artificial Intelligence, AI'99, Sydney, Australia, December 6-10, 1999 : proceedings
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Advanced information systems engineering : 7th International Conference, CAiSE '95, Jyväskylä, Finland, June 12-16, 1995 : proceedings
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Building machine learning systems with Python
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AI 엔지니어링 : 파운데이션 모델을 활용한 시스템 설계부터 개선까지, AI 앱 개발 원스톱 가이드
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