An expert in analytics-driven transformation presents an in-depth exploration of the technical integration of analytics ...

Several machine learning algorithms and approaches are compared to select the most appropriate one. The methodology was implemented using Data Mining and Big Data techniques ... were more accurate ...

To date, most applications for industrial AI have been for predictive applications, such as for maintenance optimization or ...

Once the data is prepared, it is ready to be mined. Computer applications with data mining algorithms are most frequently used to perform data mining. From there, the results are often translated ...

Understand what is Linear Regression Gradient Descent in Machine Learning and how it is used. Linear Regression Gradient Descent is an algorithm we use to minimize the cost function value, so as to ...

This video is a one stop shop for understanding What is linear regression in machine learning. Linear regression in machine learning is considered as the basis or foundation in machine learning. This ...

Low carbon footprint: In response to global regulatory trends, new regulations such as the EU's "Markets in Crypto-Assets Act ...

The investing world has a significant problem when it comes to data about small and medium-sized enterprises (SMEs). This has nothing to do with data quality or accuracy — it’ ...