Software is not a solid but, if anything, a liquid: it adapts to any container. We are always working to learn new technologies, to balance innovation with time and economics
The digital sector offers us the opportunity to feel like we are always “at the beginning” of something new. Bring to our customers the best possible solutions to their problems.
Solving business problems with innovative software solutions is a challenge that requires our team to stay on top of the latest developments in the industry.
In machine learning , hyperparameter optimization or tuning is the problem of choosing a set of optimal hyperparameters for a learning algorithm. A hyperparameter is a parameter whose value is used to control the learning process. By contrast, the learning process. By contrast, the values of other parameters (typically node weights) are learned.
-Wikipedia