Game theory can provide a valuable point of view for decision making. On a daily basis, each company faces complex decisions about its operations. For some of these decisions, the outcome of the decision is not conditioned by the decisions of others, but in many cases, it is. The result not only depends on the action or strategy adopted but is also affected by the decisions of others.
What is AutoML? What tasks does it facilitate? What limitations does it have? Introduction to Automated Machine Learning technologies from the analysis of all phases of a Machine Learning project in production.
Federated learning is the set of techniques that allow training Machine Learning models without sending users data from their devices.
Computer vision is a set of techniques that deal with how computational processes can obtain high-level information from digital images or videos, trying to understand and automate tasks that the human visual system is capable of performing.
If you are considering adopting prescriptive analytics to improve your processes, a rigorous study of past projects shows that you can improve between 10% and 20%.
Optimization and simulation are two very powerful tools that allow you to tackle complex problems and make better decisions.
The travelling salesman problem (TSP) consists on finding the shortest single path that, given a list of cities and distances between them, visits all the cities only once and returns to the origin city.
Last September 2nd, Álvaro García and Hugo Larzábal hosted a webinar sponsored by Gurobi aimed at planners in the Logistics, Transportation, Delivery, Courier or Travel, Tourism & Hospitality industries titled “How to synchronize complex routing operations (synched VRPs) with Gurobi”
When money is invested in an application to achieve savings or increase the income of a company, it is convenient to estimate its Return of Investment to decide if acquiring or developing the application is worth it.
Implementing advanced analytics projects, whether predictive or prescriptive, is hard. Numbers show that it is very easy to fall into the "proof of concept purgatory" for different reasons: inconsistent or…