Books on the topic 'Explainability of machine learning models'
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Nandi, Anirban, and Aditya Kumar Pal. Interpreting Machine Learning Models. Berkeley, CA: Apress, 2022. http://dx.doi.org/10.1007/978-1-4842-7802-4.
Full textBolc, Leonard. Computational Models of Learning. Berlin, Heidelberg: Springer Berlin Heidelberg, 1987.
Find full textGalindez Olascoaga, Laura Isabel, Wannes Meert, and Marian Verhelst. Hardware-Aware Probabilistic Machine Learning Models. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-74042-9.
Full textSingh, Pramod. Deploy Machine Learning Models to Production. Berkeley, CA: Apress, 2021. http://dx.doi.org/10.1007/978-1-4842-6546-8.
Full textZhang, Zhihua. Statistical Machine Learning: Foundations, Methodologies and Models. UK: John Wiley & Sons, Limited, 2017.
Find full textRendell, Larry. Representations and models for concept learning. Urbana, IL (1304 W. Springfield Ave., Urbana 61801): 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. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-8106-7.
Full textBisong, Ekaba. Building Machine Learning and Deep Learning Models on Google Cloud Platform. Berkeley, CA: 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. Boca Raton: Chapman and Hall/CRC, 2022. http://dx.doi.org/10.1201/9781003185376.
Full textSuthaharan, Shan. Machine Learning Models and Algorithms for Big Data Classification. Boston, MA: 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. Hershey, PA: Information Science Reference, 2010.
Find full textNaidenova, Xenia. Machine learning methods for commonsense reasoning processes: Interactive models. Hershey, PA: Information Science Reference, 2010.
Find full textRasmussen, Carl Edward. Gaussian processes for machine learning. Cambridge, MA: MIT Press, 2005.
Find full textNandi, Anirban, and Aditya Kumar Pal. Interpreting Machine Learning Models: Learn Model Interpretability and Explainability Methods. Apress L. P., 2022.
Find full textBhattacharya, Aditya. Applied Machine Learning Explainability Techniques: Make ML Models Explainable and Trustworthy for Practical Applications Using LIME, SHAP, and More. Packt Publishing, Limited, 2022.
Find full textBolc, Leonard. Computational Models of Learning. Springer, 2011.
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 textN, Ambika. Building Business Models with Machine Learning. IGI Global, 2024.
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 textComputational trust models and machine learning. Boca Raton: Taylor & Francis, 2014.
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 textN, Ambika. Building Business Models with Machine Learning. IGI Global, 2024.
Find full textPractical MLOps: Operationalizing Machine Learning Models. O'Reilly Media, Incorporated, 2021.
Find full textN, Ambika. Building Business Models with Machine Learning. IGI Global, 2024.
Find full textExplainable Machine Learning Models and Architectures. Wiley & Sons, Incorporated, John, 2023.
Find full textN, Ambika. Building Business Models with Machine Learning. IGI Global, 2024.
Find full textN, Ambika. Building Business Models with Machine Learning. IGI Global, 2024.
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 textGeneralized Low Rank Models. 2016.
Find full textGeneralized Low Rank Models. Now Publishers, 2016.
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 textComputational models of learning. Berlin: Springer-Verlag, 1987.
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. UK: 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 textMachine Learning with Pytorch and Scikit-Learn: Develop Machine Learning and Deep Learning Models with Python. Packt Publishing, Limited, 2022.
Find full textMachine Learning with Pytorch and Scikit-Learn: Develop Machine Learning and Deep Learning Models with Python. de Gruyter GmbH, Walter, 2022.
Find full textVidales, A. Machine Learning with Matlab: Supervised Learning Using Predictive Models. Regression. Independently Published, 2019.
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