Farid
Narinder Kaur;Bobbinpreet Kaur;Yonis Gulzar;Dac-Nhuong Le; De Gruyter 2026
Catergory: Computer Technology, Mathematics, Nonfiction
Data science, quantitative analysis, computer optimisation, and machine learning are all explored in this book. Insightful mathematical analysis of ML models is presented in this work. Various fields, including healthcare, banking, and e-commerce, are covered in this book through case studies. To choose features, hyperparameters, and models, the latter shows how optimisation can be implemented. Practical insights on the assessment and improvement of machine learning models in real-world situations, such as e-commerce, healthcare, banking, and agriculture, are included. Professionals in the fields of research, engineering, mathematics, and computer science are the target audience for this book. Through the integration of theoretical principles with practical applications, the usage of computational optimisation techniques in real-time settings is to be enhanced.
Contents of Download:
📌 Kaur N. Computational Optimization. Machine Learning And Fuzzy Systems 2026.pdf (Narinder Kaur;Bobbinpreet Kaur;Yonis Gulzar;Dac-Nhuong Le;) (2026) (6.86 MB)
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⭐️ Computational Optimization Machine Learning And Fuzzy Systems (2026) ✅ (7.86 MB)
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