AI/Machine learning: Various models as seen above, all involving prep work to condition data and the use of algorithms to generate a model and seek out correlations, patterns and relationships in ...

Thus, the main aim of this research is to implement data mining and machine learning algorithms to create a model that accurately predicts crop yield. For this, the data is acquired, processed and ...

Artificial intelligence is a global topic that holds significant importance in recent years. It sparks debates about its usage, but despite the contradictions that arise, there are many benefits to ...

Q&A: Data, analytics, AI ‘vital for competitive advantage’ in mining – Rio Tinto. Rio Tinto CIO Dan Evans says AI can help mining companies with optimisation, safety, efficiency, innovation and ...

Technological innovations, particularly in the data and machine learning space, are pivotal in addressing the increasing global demand for critical minerals, highlights geoscience software company ...

The Big Data Analytics, Artificial Intelligence and Machine Learning research cluster tackles important problems and develops real-life applications, harnessing technologies to extract insights and ...

Discretization: The process of converting continuous data into discrete intervals or bins, facilitating easier analysis and improved performance in classification tasks.

Dive into the world of predictive analytics. Unlock insights, understand real world use cases and harness future trends in data science. Editor's Note: This article has been updated on February 2 ...