Machine learning defined Machine learning is a branch of artificial intelligence that includes methods, or algorithms, for automatically creating models from data.

A proactive, coordinated effort can reduce the chances that manipulations will impact model performance and protect algorithmic integrity.

Machine learning models—especially large-scale ones like GPT, BERT, or DALL·E—are trained using enormous volumes of data.

A machine learning model is the product of training a machine learning algorithm with training data. In other words, it is the result of a machine learning training process.

Data poisoning is a type of attack that involves tampering with and polluting a machine learning model's training data, impacting the model's ability to produce accurate predictions.

Now more than ever, businesses are deploying machine learning to drive business results. Learn about the state of machine learning in business today.

Machine learning and deep learning projects are gaining more and more importance in most enterprises. The complete process includes data preparation, building an analytic model and deploying it to ...

A data privacy expert explains how machine learning algorithms draw inferences and how that leads to privacy concerns.

As machine learning evolves, more variations of machine learning models will be developed and tested on sparse data. Students and professionals using the skills learned in a master’s in business ...

Quality data is at the heart of the success of enterprise artificial intelligence (AI). And accordingly, it remains the main source of challenges for companies that want to apply machine learning ...