Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Intelligent organizations prioritize investments in machine learning and real-time data ...

The data lakehouse architecture is leading this change—particularly for machine learning (ML) and advanced analytics—by combining the strengths of both data lakes and data warehouses.

While many machine learning experts and data scientists are likely familiar with it at this point, the existence of techniques such as transfer learning does not seem to have reached the awareness ...

In this paper, we systematically review 40 empirical studies regarding machine-learning-based precision education. The results showed that the majority of studies focused on the prediction of learning ...

The 10 hottest data science and machine learning tools include MLflow 3.0, PyTorch, Snowflake Data Science Agent and TensorFlow.

Professor Todd Murphey showed how robots can purposefully collect data to learn about the surrounding environment, rather than passively collecting data as they go about other tasks.

Machine-learning algorithms find and apply patterns in data. And they pretty much run the world.

Our understanding of progress in machine learning has been colored by flawed testing data. The 10 most cited AI data sets are riddled with label errors, according to a new study out of MIT, and it ...