In this online data science specialization, you will apply machine learning algorithms to real-world data, learn when to use which model and why, and improve the performance of your models. Beginning ...

Giosuè Baggio is in the Language Acquisition and Language Processing Lab, Norwegian University of Science and Technology (NTNU), Trondheim NO-7491, Norway. Binz et al. explore horizontal integration ...

Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...

Human memory and attention are core cognitive functions that shape perception, learning, and decision-making. And whilst decades of research have provided ...

In data analysis, time series forecasting relies on various machine learning algorithms, each with its own strengths. However, we will talk about two of the most used ones. Long Short-Term Memory ...

Federated learning makes it possible for agency employees to collaborate on advanced artificial intelligence models without compromising data control or operational security. The process serves as a ...

As machine learning becomes more pervasive in the data center and the cloud there will be a need to share and aggregate information and knowledge but without exposing or moving the underlying data.

Personalised learning has been discussed for years as a future aspiration, but it is only recently that classrooms have begun to feel the impact of what it can offer. Advances in adaptive software, ...