Engineering Mathematics and Artificial Intelligence
portes grátis
Engineering Mathematics and Artificial Intelligence
Foundations, Methods, and Applications
Galan, Manuel Ruiz; La Torre, Davide; Riccoboni, Adam; Kunze, Herb
Taylor & Francis Ltd
12/2024
513
Mole
9781032255682
Pré-lançamento - envio 15 a 20 dias após a sua edição
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1. Multiobjective Optimization: An Overview. 2. Inverse Problems. 3. Decision Tree for Classification and Forecasting. 4. A Review of Choice Topics in Quantum Computing and Some Connections with Machine Learning. 5. Sparse Models for Machine Learning. 6. Interpretability in Machine Learning. 7. Big Data: Concepts, Techniques, and Considerations. 8. A Machine of Many Faces: On the Issue of Interface in Artificial Intelligence and Tools from User Experience. 9. Artificial Intelligence Technologies and Platforms. 10. Artificial Neural Networks. 11. Multicriteria Optimization in Deep Learning. 12. Natural Language Processing: Current Methods and Challenges. 13. AI and Imaging in Remote Sensing. 14. AI in Agriculture. 15. AI and Cancer Imaging. 16. AI in Ecommerce: From Amazon and TikTok, GPT-3 and LaMDA, to the Metaverse and Beyond. 17. The Difficulties of Clinical NLP. 18. Inclusive Green Growth in OECD Countries: Insight from The Lasso Regularization and Inferential Techniques. 19. Quality Assessment of Medical Images. 20. Securing Machine Learning Models: Notions and Open Issues.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Operations Reseach;Machine Learning;Statistical Optimization;Mathematical Modeling;Probabilistic Models;Decision Trees;RNNs;Ml Model;Quantum Game;SSIM Index;Convolution Layer;AGI;Dl Architecture;Pooling Layer;NLP System;Image Quality Assessment;Machine Learning Algorithms;Data Set;Brain CT Image;Objective Image Quality Assessment;NLP Task;Double Slit Experiment;Qubit State;L1 Regularization;POS Tag;Inclusive Green Growth;Quantum Superposition;Nash Equilibrium;Quantum Computer;Cross-validation Plot;Quantum Computing
1. Multiobjective Optimization: An Overview. 2. Inverse Problems. 3. Decision Tree for Classification and Forecasting. 4. A Review of Choice Topics in Quantum Computing and Some Connections with Machine Learning. 5. Sparse Models for Machine Learning. 6. Interpretability in Machine Learning. 7. Big Data: Concepts, Techniques, and Considerations. 8. A Machine of Many Faces: On the Issue of Interface in Artificial Intelligence and Tools from User Experience. 9. Artificial Intelligence Technologies and Platforms. 10. Artificial Neural Networks. 11. Multicriteria Optimization in Deep Learning. 12. Natural Language Processing: Current Methods and Challenges. 13. AI and Imaging in Remote Sensing. 14. AI in Agriculture. 15. AI and Cancer Imaging. 16. AI in Ecommerce: From Amazon and TikTok, GPT-3 and LaMDA, to the Metaverse and Beyond. 17. The Difficulties of Clinical NLP. 18. Inclusive Green Growth in OECD Countries: Insight from The Lasso Regularization and Inferential Techniques. 19. Quality Assessment of Medical Images. 20. Securing Machine Learning Models: Notions and Open Issues.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Operations Reseach;Machine Learning;Statistical Optimization;Mathematical Modeling;Probabilistic Models;Decision Trees;RNNs;Ml Model;Quantum Game;SSIM Index;Convolution Layer;AGI;Dl Architecture;Pooling Layer;NLP System;Image Quality Assessment;Machine Learning Algorithms;Data Set;Brain CT Image;Objective Image Quality Assessment;NLP Task;Double Slit Experiment;Qubit State;L1 Regularization;POS Tag;Inclusive Green Growth;Quantum Superposition;Nash Equilibrium;Quantum Computer;Cross-validation Plot;Quantum Computing
