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LikeSNU에서 의미기반으로 분석하여 연관된 자료를 추천해드립니다.
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Machine learning refined : foundations, algorithms, and applications
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Machine learning refined : foundations, algorithms, and applications
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Feature engineering for machine learning : principles and techniques for data scientists
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머신러닝 엔지니어링 with 파이썬
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Unsupervised learning algorithms
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Efficient learning machines : theories, concepts, and applications for engineers and system designers
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Applications of Machine Learning
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Analysis and design of machine learning techniques : evolutionary solutions for regression, prediction, and control problems
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(으뜸) 머신러닝
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Machine learning and robot perception
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Advances in machine learning applications in software engineering
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Understanding machine learning : from foundations to algorithms
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Multiple instance learning : foundations and algorithms
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Graph Neural Networks: Foundations, Frontiers, and Applications
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Autonomous learning from the environment
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Intelligent optimisation techniques : genetic algorithms, tabu search, simulated annealing and neural networks
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Accelerated optimization for machine learning : first-order algorithms
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적대적 머신러닝 : 머신러닝 알고리즘으로 시스템 보안 공격과 방어
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MATLAB Deep Learning : With Machine Learning, Neural Networks and Artificial Intelligence
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High-Performance Computing and Big Data Analysis : Second International Congress, TopHPC 2019, Tehran, Iran, April 23–25, 2019, Revised Selected Papers
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