Browsing Machine Theory 21 - 40 of 1109 results

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    Data Mining Use Cases and Business Analytics Applications
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    • Markus Hofmann
    • Chapman & Hall
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    Classification, regression, and clustering techniques in Python
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    • Kevin Jolly
    • Packt Publishing
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    Practical Case Studies
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    • Nachshon (Sean) Goltz; Tracey Dowdeswell
    • Chapman & Hall
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    Design Principle, Modernization, and Techniques
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    • Thillaiarasu, N
    • CRC Press
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    • 1st Edition
    • CRC Press
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    A practical guide to designing, building, and improving neural network models using R
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    • Michael Pawlus; Rodger Devine
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    Machine Learning Models and Techniques
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    • Anish Jindal
    • CRC Press
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    • 1st Edition
    • CRC Press
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    Methods and Applications with R
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    • Bing Li
    • Chapman & Hall
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    • R.F.B.M. Dheere
    • Pergamon
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    Principles and Applications
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    • Vikas Chaudhary
    • CRC Press
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    • 2nd Edition
    • Lior Rokach
    • World Scientific
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    Computational Models for Cell Processes
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    • Corrado Priami; RalphJohan Back; ‎Ion Petre
    • Springer
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    • Tawanda Mushiri; Charles Mbowhwa
    • Engineering Science Reference
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    Build, improve, and optimize time series forecasting models using the advanced forecasting tool
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    • Greg Rafferty
    • Packt Publishing
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    Theory and Applications
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    • Nadia Nedjah; Luiza De Macedo Mourelle; Heitor Silverio Lopes
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    6th International Conference, DLT 2002, Kyoto, Japan, September 18-21, 2002, Revised Papers
    • 1st Edition
    • Masami Ito; ‎Masafumi Toyama
    • Springer
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    Build next-generation, self-learning models using reinforcement learning techniques and best practices
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    • Enes Bilgin
    • Packt Publishing
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    13th European PVM/MPI User's Group Meeting, Bonn, Germany, September 17-20, 2006, Proceedings
    • 1st Edition
    • Bernd Mohr; ‎Jesper Larsson Träff; ‎Joachim Worringen
    • Springer
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    • 1st Edition
    • CRC Press
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