To improve the results of Machine Learning projects, the Ensemble Modeling technique is used. This technique allows to obtain, thanks to a series of ensemble methods that use multiple models, a better predictive performance compared to the models from which it is made up.
Machine Learning is a subset of artificial intelligence (AI) that deals with creating systems that learn or improve performance based on the data they use: it has unprecedented computational capacity, but on its own it cannot be perfect.
Industry 4.0 has always been synonymous with recovery and efficiency, which is also declined in terms of energy efficiency: Augmented Reality provides tools that enable the energy assessment of production systems and plants.
Artificial Intelligence and Cognitive Computing are often used as interchangeable terms, and as much as both refer to machines with human-like capabilities, there are some big and important differences.
Lately it has occurred to everyone to hear mention of augmented reality (AR) and virtual reality (VR), two emerging technologies in recent years.
Although they are, incorrectly, equated and so confused they are very different from each other.
iPaaS (integration Platform as a Service) is a technology platform on the cloud that integrates the different applications and data produced by a company.
The third party cloud provider manages all back-end resources, such as desktop storage, compute, and networking, including the virtual cloud machines that run the desktop operating systems.
