Books on the topic 'Architectures and 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 textKang, Mingu, Sujan Gonugondla, and Naresh R. Shanbhag. Deep In-memory Architectures for Machine Learning. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-35971-3.
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 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 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 textExplainable Machine Learning Models and Architectures. Wiley & Sons, Incorporated, John, 2023.
Find full textMachine Learning Models and Architectures for Biomedical Signal Processing. Elsevier Science & Technology Books, 2024.
Find full textMachine Learning Models and Architectures for Biomedical Signal Processing. Elsevier Science & Technology, 2024.
Find full textBiggs, John, and Vicente Herrera García. Building Intelligent Cloud Applications: Develop Scalable Models Using Serverless Architectures with Azure. O'Reilly Media, Incorporated, 2019.
Find full textIn Order to Learn: How the Sequence of Topics Influences Learning (Oxford Series on Cognitive Models and Architectures). Oxford University Press, USA, 2007.
Find full textRitter, Frank E., Erno Lehtinen, and Josef Nerb. In Order to Learn: How the Sequence of Topics Influences Learning. Oxford Series on Cognitive Models and Architectures. Oxford University Press, 2007.
Find full textShanbhag, Naresh R., Mingu Kang, and Sujan Gonugondla. Deep In-memory Architectures for Machine Learning. Springer, 2020.
Find full textShanbhag, Naresh R., Mingu Kang, and Sujan Gonugondla. Deep in-Memory Architectures for Machine Learning. Springer International Publishing AG, 2021.
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 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 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 textYeaman, Kym. Machine Learning for Beginners : Code Basic Machine Learning Models Using Python: Introduction to Machine Learning with Python. Independently Published, 2021.
Find full textMastering Java Machine Learning: A Java Developer's Guide to Implementing Machine Learning and Big Data Architectures. de Gruyter GmbH, Walter, 2017.
Find full textKamath, Dr Uday, and Krishna Choppella. Mastering Java Machine Learning: A Java developer's guide to implementing machine learning and big data architectures. Packt Publishing - ebooks Account, 2017.
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