Machine-learning algorithms find and apply patterns in data. And they pretty much run the world. Machine-learning algorithms are responsible for the vast majority of the artificial intelligence ...

If you are an aspiring data scientist, you may have come across the terms artificial intelligence (AI), machine learning, deep learning and neural networks.

“Successful machine learning is only as good as the data available, which is why it needs new, updated data to provide the most accurate outputs or predictions for any given need,” said ...

Hence, using machine learning for big data analytics happens to be a logical step for companies to maximize the potential of big data adoption.

Getting machine-learning-based systems to handle edge cases is complex for several reasons: Good data is not available about these edge cases due to their infrequent occurrence. The knowledge base ...

Level 2 is continual learning: ML systems that incorporate new data and update in real-time, for which she defines real-time to be in the order of minutes.

Data validation in machine learning plays a critical role in ensuring that data sets adhere to specific project criteria and affirming the effectiveness of prior cleaning and transformation efforts.

Our latest Methods 101 video explains the basics of machine learning and how it allows our researchers to analyze data on a large scale.

Explore the role of labeled data in machine learning, the challenges it presents, techniques and the future of data labeling.

Explore five entry-level machine learning jobs — machine learning engineer, data scientist, AI researcher, machine learning consultant and data engineer.