Libri sul tema "Explainability of machine learning models"
Cita una fonte nei formati APA, MLA, Chicago, Harvard e in molti altri stili
Vedi i top-50 libri per l'attività di ricerca sul tema "Explainability of machine learning models".
Accanto a ogni fonte nell'elenco di riferimenti c'è un pulsante "Aggiungi alla bibliografia". Premilo e genereremo automaticamente la citazione bibliografica dell'opera scelta nello stile citazionale di cui hai bisogno: APA, MLA, Harvard, Chicago, Vancouver ecc.
Puoi anche scaricare il testo completo della pubblicazione scientifica nel formato .pdf e leggere online l'abstract (il sommario) dell'opera se è presente nei metadati.
Vedi i libri di molte aree scientifiche e compila una bibliografia corretta.
Nandi, Anirban, e Aditya Kumar Pal. Interpreting Machine Learning Models. Berkeley, CA: Apress, 2022. http://dx.doi.org/10.1007/978-1-4842-7802-4.
Testo completoBolc, Leonard. Computational Models of Learning. Berlin, Heidelberg: Springer Berlin Heidelberg, 1987.
Cerca il testo completoGalindez Olascoaga, Laura Isabel, Wannes Meert e Marian Verhelst. Hardware-Aware Probabilistic Machine Learning Models. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-74042-9.
Testo completoSingh, Pramod. Deploy Machine Learning Models to Production. Berkeley, CA: Apress, 2021. http://dx.doi.org/10.1007/978-1-4842-6546-8.
Testo completoZhang, Zhihua. Statistical Machine Learning: Foundations, Methodologies and Models. UK: John Wiley & Sons, Limited, 2017.
Cerca il testo completoRendell, 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.
Cerca il testo completoEhteram, Mohammad, Zohreh Sheikh Khozani, Saeed Soltani-Mohammadi e 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.
Testo completoBisong, 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.
Testo completoGupta, Punit, Mayank Kumar Goyal, Sudeshna Chakraborty e 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.
Testo completoSuthaharan, 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.
Testo completoNaidenova, Xenia. Machine learning methods for commonsense reasoning processes: Interactive models. Hershey, PA: Information Science Reference, 2010.
Cerca il testo completoNaidenova, Xenia. Machine learning methods for commonsense reasoning processes: Interactive models. Hershey, PA: Information Science Reference, 2010.
Cerca il testo completoRasmussen, Carl Edward. Gaussian processes for machine learning. Cambridge, MA: MIT Press, 2005.
Cerca il testo completoNandi, Anirban, e Aditya Kumar Pal. Interpreting Machine Learning Models: Learn Model Interpretability and Explainability Methods. Apress L. P., 2022.
Cerca il testo completoBhattacharya, Aditya. Applied Machine Learning Explainability Techniques: Make ML Models Explainable and Trustworthy for Practical Applications Using LIME, SHAP, and More. Packt Publishing, Limited, 2022.
Cerca il testo completoBolc, Leonard. Computational Models of Learning. Springer, 2011.
Cerca il testo completoCroman, Chasity. Tutorials on Machine Learning: Start Learning Machine Learning and Build Your Own Models. Independently Published, 2022.
Cerca il testo completoXin, Liu, Ee-Peng Lim e Anwitaman Datta. Computational Trust Models and Machine Learning. Taylor & Francis Group, 2014.
Cerca il testo completoXin, Liu, Ee-Peng Lim e Anwitaman Datta. Computational Trust Models and Machine Learning. Taylor & Francis Group, 2020.
Cerca il testo completoN, Ambika. Building Business Models with Machine Learning. IGI Global, 2024.
Cerca il testo completoAdversarial Robustness for Machine Learning Models. Elsevier Science & Technology Books, 2022.
Cerca il testo completoExplainable Machine Learning Models and Architectures. Wiley & Sons, Incorporated, John, 2023.
Cerca il testo completoComputational trust models and machine learning. Boca Raton: Taylor & Francis, 2014.
Cerca il testo completoExplainable Machine Learning Models and Architectures. Wiley & Sons, Incorporated, John, 2023.
Cerca il testo completoMehtab, Sidra, e Jaydip Sen. Machine Learning: Algorithms, Models and Applications. IntechOpen, 2021.
Cerca il testo completoXin, Liu, Ee-Peng Lim e Anwitaman Datta. Computational Trust Models and Machine Learning. Taylor & Francis Group, 2014.
Cerca il testo completoXin, Liu, Ee-Peng Lim e Anwitaman Datta. Computational Trust Models and Machine Learning. Taylor & Francis Group, 2014.
Cerca il testo completoChen, Gang. Machine Learning: Basics, Models and Trends. Independently Published, 2017.
Cerca il testo completoN, Ambika. Building Business Models with Machine Learning. IGI Global, 2024.
Cerca il testo completoPractical MLOps: Operationalizing Machine Learning Models. O'Reilly Media, Incorporated, 2021.
Cerca il testo completoN, Ambika. Building Business Models with Machine Learning. IGI Global, 2024.
Cerca il testo completoExplainable Machine Learning Models and Architectures. Wiley & Sons, Incorporated, John, 2023.
Cerca il testo completoN, Ambika. Building Business Models with Machine Learning. IGI Global, 2024.
Cerca il testo completoN, Ambika. Building Business Models with Machine Learning. IGI Global, 2024.
Cerca il testo completoAdversarial Robustness for Machine Learning Models. Elsevier Science & Technology, 2022.
Cerca il testo completoWineinger, Hubert. Python Book : How to Build Predictive Machine Learning Models Step by Step: Machine Learning Models. Independently Published, 2021.
Cerca il testo completoGeneralized Low Rank Models. 2016.
Cerca il testo completoGeneralized Low Rank Models. Now Publishers, 2016.
Cerca il testo completoYeaman, Kym. Machine Learning for Beginners : Code Basic Machine Learning Models Using Python: Introduction to Machine Learning with Python. Independently Published, 2021.
Cerca il testo completoComputational models of learning. Berlin: Springer-Verlag, 1987.
Cerca il testo completoMadani, 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.
Cerca il testo completoStatistical Machine Learning: Foundations, Methodologies and Models. UK: Wiley-Blackwell (an imprint of John Wiley & Sons Ltd), 2020.
Cerca il testo completoExplainable Machine Learning Models and Architectu Res. Wiley & Sons, Limited, John, 2023.
Cerca il testo completoAgrawal, Tanay. Hyperparameter Optimization in Machine Learning: Make Your Machine Learning and Deep Learning Models More Efficient. Apress L. P., 2020.
Cerca il testo completoSammons, Mark, Dan Roth, Fabio Zanzotto e Ido Dagan. Recognizing Textual Entailment: Models and Applications. Springer International Publishing AG, 2013.
Cerca il testo completoSammons, Mark, Dan Roth, Fabio Zanzotto e Ido Dagan. Recognizing Textual Entailment: Models and Applications. Morgan & Claypool Publishers, 2013.
Cerca il testo completoSammons, Mark, Dan Roth, Fabio Zanzotto e Ido Dagan. Recognizing Textual Entailment: Models and Applications. Morgan & Claypool Publishers, 2013.
Cerca il testo completoMachine Learning with Pytorch and Scikit-Learn: Develop Machine Learning and Deep Learning Models with Python. Packt Publishing, Limited, 2022.
Cerca il testo completoMachine Learning with Pytorch and Scikit-Learn: Develop Machine Learning and Deep Learning Models with Python. de Gruyter GmbH, Walter, 2022.
Cerca il testo completoVidales, A. Machine Learning with Matlab: Supervised Learning Using Predictive Models. Regression. Independently Published, 2019.
Cerca il testo completo