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    Proceedings of ICMLAS 2021
    • Springer
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    Applications in Data Analysis, Machine Learning, and Neural Networks
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    • Jalil Villalobos Alva
    • Apress
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    Third Analytics Global Conference, AGC 2025, Kolkata, India, March 8–9, 2025, Revised Selected Papers
    • Springer
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    14th International Conference, SISAP 2021, Dortmund, Germany, September 29 – October 1, 2021, Proceedings
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    From Games to Deterministic and Quantum Approaches
    • 1st Edition
    • Maurice Clerc
    • CRC Press
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    5th International Conference, ICACDS 2021, Nashik, India, April 23–24, 2021, Revised Selected Papers, Part I
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    • Springer
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    • 1st Edition
    • Peter Lee, James Yu, Ran Cheng
    • Polaris QCI Publishing
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    Foundations of Machine Learning
    • Moritz Hardt; Benjamin Recht
    • Princeton University Press
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    • PeterTheodor Wilrich; HansJoachim Lenz
    • Physica
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    A Rosetta Stone for Electrodynamic Coupling in Cosmic Plasmas
    • Philip Judge; James A. Ionson
    • Springer
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    • Jin Li; Ping Li; Zheli Liu; Xiaofeng Chen; Tong Li
    • Springer
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    • 2nd Edition
    • Heping Zhang; Burton H. Singer
    • Springer
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    SPE2023, Guimarães, Portugal, October 11-14
    • Springer
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    A Guide to the Open Source Ecosystem
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    • Matthias Bannert
    • Chapman & Hall
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    • Bradley Efron; R.J. Tibshirani
    • Chapman & Hall
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    • M. A. H. Dempster, Georg Pflug, and Gautam Mitra
    • Chapman & Hall
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    • 1st Edition
    • Wuyi Yue; ‎Yutaka Takahashi; ‎Hideaki Takagi
    • Springer
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    Design and Analysis of Follow-on Biologics
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    • Shein-Chung Chow
    • Chapman & Hall
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    Design and Analysis, Third Edition
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    • Sharon L. Lohr
    • Chapman & Hall
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