Looking for practical insights on improving your training data pipeline and getting machine learning models to production-level performance fast? Join industry leaders for an in-depth discussion on ...

Design of Experiments (DOE) is a powerful and pragmatic tool for optimisation but it’s not the only way. Could there be even more powerful alternatives in the age of machine learning, AI and ...

After this point, you move onto the last phase of the process, which involves refinement, spread, and execution of the final idea (s). This process is very intuitive to a scientific mind like mine.

As tech companies grow, they often start overcomplicating and overbuilding software. The goal of such companies should be to create a tech process that allows flexibility and improves efficiency. To ...