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"Evolutionary Machine Learning: A Survey" by Akbar Telikani, Amirhessam Tahmassebi et al.

Evolutionary Computation (EC) approaches are inspired by nature and solve optimization problems in a stochastic manner. They can offer a reliable and effective approach to address complex problems in real-world applications. EC algorithms have recently been used to improve the performance of Machine Learning (ML) models and the quality of their results. Evolutionary approaches can be used in all three parts of ML: preprocessing (e.g., feature selection and resampling), learning (e.g., parameter ...
Machine Learning Evolutionary Computation Learning Optimization Swarm Intelligence
Source: uow.edu.au

Multivariate Testing with Live Editor empowers brands to test personalized experiences quickly without needing engineering resources

Multivariate Testing with Live Editor empowers brands to test personalized experiences quickly without needing engineering resources Share Article Barilliance, a leading personalization platform for Retailers, launches full multivariate testing and optimization with a live front end visual editor. Retailers can now create personal experiences for unlimited audiences, without needing design or engineering resources. Retailers can now create personal experiences for unlimited audiences, without n...
Live Editor Visual Editor Test Goals Learning Optimization Audience Segmentation Multivariate Testing
Source: prweb.com

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