, when combined with analytics products, can transform into powerful tools for supply chain optimisation.
This quote is from a plant director who contacted us for the implementation of an algorithm to enhance their Master...
Data Science FundamentalsBeginner’s practical guide to discrete optimisation in PythonData Scientists tackle a big selection of real-life problems using data and various techniques. Mathematical optimisation, a robust technique that could be applied to a...
How you can improve training beyond the “vanilla” gradient descent algorithmIn my last post, we discussed how you possibly can improve the performance of neural networks through hyperparameter tuning:This can be a process whereby...
Our primary objective is to reinforce the effectiveness of Bayesian Optimisation (BO) by leveraging meta-learning to transfer knowledge across different problem domains, thereby significantly improving sample efficiency.In pursuit of this goal, we introduce the...
Our primary objective is to boost the effectiveness of Bayesian Optimisation (BO) by leveraging meta-learning to transfer knowledge across different problem domains, thereby significantly improving sample efficiency.In pursuit of this goal, we introduce the...