Key Takeaways. Data preparation takes 60 to 80 percent of the whole analytical pipeline in a typical machine learning / deep learning project. Various programming languages, frameworks and tools ...

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

Strategies to reduce data bias in machine learning. Chances are that you’re familiar with the concept of bias. It is widespread, turning up in discussions about scientific discoveries, politics ...

International Business Machines’ (IBM) research laboratory in Zurich, Switzerland has developed a new generic preprocessing building block that could make the speed by which machine learning ...