If organizations want their learning and development efforts to produce results, they need to redesign the infrastructure ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...

When it comes to learning and development, many of today's companies have moved away from the internal university model in favor of e-learning. This technology has certainly been an important ...

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 ...