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Browsing Machine Theory 581 - 600 of 751 results

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    Application and Challenges
    • 1st Edition
    • Chapman & Hall
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    Exact Algorithms
    • Rina Dechter
    • Morgan & Claypool Publishers
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    Perform accessible machine learning and extreme gradient boosting with Python
    • 1st Edition
    • Corey Wade; Kevin Glynn
    • Packt Publishing
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    Concepts and Applications
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    • Rohit Sharma
    • CRC Press
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    Third Australian Conference, ACAL 2007 Gold Coast, Australia, December 4-6, 2007 Proceedings
    • 1st Edition
    • Marcus Randall; ‎Hussein A. Abbass; ‎Janet Wiles
    • Springer
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    Practical Q-learning with OpenAI Gym, Keras, and TensorFlow
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    • Nazia Habib
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    Implement supervised, unsupervised, and reinforcement learning techniques using R 3.5
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    • Dr. Sunil Kumar Chinnamgari
    • Packt Publishing
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    • Moustapha Diaby; Mark H Karwan
    • World Scientific
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    • 1st Edition
    • Oswald Campesato
    • Mercury Learning & Information
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    Machine Learning, Convolutional Neural Networks and Large Language Models
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    • Leonidas Deligiannidis, George Dimitoglou, Hamid R. Arabnia
    • De Gruyter
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    • Aboul Ella Hassanien
    • IGI Global Scientific Publishing
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    • 1st Edition
    • Mire, Archana
    • CRC Press
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    • 1st Edition
    • Chapman & Hall
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    • Gulzar Zameer
    • IGI Global Scientific Publishing
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    • 1st Edition
    • Yuri S. Popkov; Alexey Yu. Popkov; Yuri A. Dubnov
    • Chapman & Hall
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    A Deep Dive
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    • Uday Kamath; Kenneth Graham; Wael Emara
    • Chapman & Hall
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    Build high-performing artificial neural network architectures using neuroevolution-based algorithms
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    • Iaroslav Omelianenko
    • Packt Publishing
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    • Patil Bhushan
    • IGI Global Scientific Publishing
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    Create machine learning platforms to run solutions in an enterprise setting
    • 1st Edition
    • David Ping
    • Packt Publishing
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  • eBook
    • Jiann-Ming Wu; Chao-Yuan Tien
    • IGI Global Scientific Publishing
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    S$258.13 SGDPrice includes GST

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