Books on the topic 'Hybrid machine learning models'
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Nandi, Anirban, and Aditya Kumar Pal. Interpreting Machine Learning Models. Apress, 2022. http://dx.doi.org/10.1007/978-1-4842-7802-4.
Full textGalindez Olascoaga, Laura Isabel, Wannes Meert, and Marian Verhelst. Hardware-Aware Probabilistic Machine Learning Models. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-74042-9.
Full textSingh, Pramod. Deploy Machine Learning Models to Production. Apress, 2021. http://dx.doi.org/10.1007/978-1-4842-6546-8.
Full textZhang, Zhihua. Statistical Machine Learning: Foundations, Methodologies and Models. John Wiley & Sons, Limited, 2017.
Find full textRendell, Larry. Representations and models for concept learning. Dept. of Computer Science, University of Illinois at Urbana-Champaign, 1987.
Find full textVeit-Haibach, Patrick, and Ken Herrmann, eds. Artificial Intelligence/Machine Learning in Nuclear Medicine and Hybrid Imaging. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-00119-2.
Full textEhteram, Mohammad, Zohreh Sheikh Khozani, Saeed Soltani-Mohammadi, and Maliheh Abbaszadeh. Estimating Ore Grade Using Evolutionary Machine Learning Models. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-8106-7.
Full textZhang, Le, Chen Chen, Zeju Li, and Greg Slabaugh, eds. Generative Machine Learning Models in Medical Image Computing. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-80965-1.
Full textBisong, Ekaba. Building Machine Learning and Deep Learning Models on Google Cloud Platform. Apress, 2019. http://dx.doi.org/10.1007/978-1-4842-4470-8.
Full textGupta, Punit, Mayank Kumar Goyal, Sudeshna Chakraborty, and Ahmed A. Elngar. Machine Learning and Optimization Models for Optimization in Cloud. Chapman and Hall/CRC, 2022. http://dx.doi.org/10.1201/9781003185376.
Full textSuthaharan, Shan. Machine Learning Models and Algorithms for Big Data Classification. Springer US, 2016. http://dx.doi.org/10.1007/978-1-4899-7641-3.
Full textNaidenova, Xenia. Machine learning methods for commonsense reasoning processes: Interactive models. Information Science Reference, 2010.
Find full textNaidenova, Xenia. Machine learning methods for commonsense reasoning processes: Interactive models. Information Science Reference, 2010.
Find full textCroman, Chasity. Tutorials on Machine Learning: Start Learning Machine Learning and Build Your Own Models. Independently Published, 2022.
Find full textXin, Liu, Ee-Peng Lim, and Anwitaman Datta. Computational Trust Models and Machine Learning. Taylor & Francis Group, 2014.
Find full textXin, Liu, Ee-Peng Lim, and Anwitaman Datta. Computational Trust Models and Machine Learning. Taylor & Francis Group, 2020.
Find full textAdversarial Robustness for Machine Learning Models. Elsevier Science & Technology Books, 2022.
Find full textExplainable Machine Learning Models and Architectures. Wiley & Sons, Incorporated, John, 2023.
Find full textExplainable Machine Learning Models and Architectures. Wiley & Sons, Incorporated, John, 2023.
Find full textMehtab, Sidra, and Jaydip Sen. Machine Learning: Algorithms, Models and Applications. IntechOpen, 2021.
Find full textXin, Liu, Ee-Peng Lim, and Anwitaman Datta. Computational Trust Models and Machine Learning. Taylor & Francis Group, 2014.
Find full textXin, Liu, Ee-Peng Lim, and Anwitaman Datta. Computational Trust Models and Machine Learning. Taylor & Francis Group, 2014.
Find full textChen, Gang. Machine Learning: Basics, Models and Trends. Independently Published, 2017.
Find full textPractical MLOps: Operationalizing Machine Learning Models. O'Reilly Media, Incorporated, 2021.
Find full textExplainable Machine Learning Models and Architectures. Wiley & Sons, Incorporated, John, 2023.
Find full textAdversarial Robustness for Machine Learning Models. Elsevier Science & Technology, 2022.
Find full textWineinger, Hubert. Python Book : How to Build Predictive Machine Learning Models Step by Step: Machine Learning Models. Independently Published, 2021.
Find full textFletcher, Justin Barrows Swore. A constructive approach to hybrid architectures for machine learning. 1994.
Find full textHybrid Metaheuristics in Structural Engineering: Including Machine Learning Applications. Springer, 2023.
Find full textYeaman, Kym. Machine Learning for Beginners : Code Basic Machine Learning Models Using Python: Introduction to Machine Learning with Python. Independently Published, 2021.
Find full textMadani, Ali. Debugging Machine Learning Models with Python: Develop High-Performance, Low-bias, and Explainable Machine Learning and Deep Learning Models. de Gruyter GmbH, Walter, 2023.
Find full textStatistical Machine Learning: Foundations, Methodologies and Models. Wiley-Blackwell (an imprint of John Wiley & Sons Ltd), 2020.
Find full textExplainable Machine Learning Models and Architectu Res. Wiley & Sons, Limited, John, 2023.
Find full textAgrawal, Tanay. Hyperparameter Optimization in Machine Learning: Make Your Machine Learning and Deep Learning Models More Efficient. Apress L. P., 2020.
Find full textSammons, Mark, Dan Roth, Fabio Zanzotto, and Ido Dagan. Recognizing Textual Entailment: Models and Applications. Springer International Publishing AG, 2013.
Find full textSammons, Mark, Dan Roth, Fabio Zanzotto, and Ido Dagan. Recognizing Textual Entailment: Models and Applications. Morgan & Claypool Publishers, 2013.
Find full textSammons, Mark, Dan Roth, Fabio Zanzotto, and Ido Dagan. Recognizing Textual Entailment: Models and Applications. Morgan & Claypool Publishers, 2013.
Find full textArtificial Intelligence/Machine Learning in Nuclear Medicine and Hybrid Imaging. Springer International Publishing AG, 2023.
Find full textHybrid Imaging and Visualization: Employing Machine Learning with Mathematica - Python. Springer International Publishing AG, 2020.
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