Handbook of Machine Learning for Computational Optimization: Applications and Case Studies
Handbook of Machine Learning for Computational Optimization: Applications and Case Studies
Focuses on new machine learning developments that can lead to newly developed applications
Uses a predictive and futuristic approach which makes Machine Learning a promising tool for business processes and sustainable solutions
Promotes newer algorithms which are more efficient and reliable for a new dimension in discovering certain latent domains of applications
Discusses the huge potential in making better use of machines in order to ensure optimal prediction, execution, and decision-making
Offers many real-time case studies
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