Apr 3, 2019
Integers and uncertainty in differentiable programming
Technical insights on how two challenges are addressed from a differentiable programming perspective.
Technical insights on how two challenges are addressed from a differentiable programming perspective.
The path to unlock a series of supply chain scenarios that were before seen as largely intractable.
How zedfuncs algebra can be leveraged for probabilistic forecasting.
While random forests are no longer state-of-the-art machine learning they still offer advantages.
Thanks to CRPS Lokad cracked its aerospace & fashion challenges, but it's not without its flaws
Forecasting promotions can be a nightmare. See how our forecasting engine deals with uncertain futures.
When throwing more machines at a data processing problem is not always the right solution...
The future is uncertain, learn how Lokad has embraced this through an algebra of distributions.
Discover what Machine Learning and high dimensional statistics can bring to your supply chain.
Lokad has transformed so much, from data and business drivers integration to probabilistic forecasts.
Aligning the scoring function with the business drivers and the iterative aspect of replenishment.
