The Data Science Lab. Data Prep for Machine Learning: Splitting. Dr. James McCaffrey of Microsoft Research explains how to programmatically split a file of data into a training file and a test file, ...

Machine learning, or ML, is growing in importance for enterprises that want to use their data to improve their customer experience, develop better products and more. But before an enterprise can ...

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 ...

AWS launched a new service today, Amazon SageMaker Data Wrangler, that makes it easier for data scientists to prepare their data for machine learning training.In addition, the company is also ...

The performance of a classification model in machine learning is affected by many factors, such as the method of splitting the dataset and the type of machine learning technology used. Accuracy varies ...

Google launched a bundle of big data features on Thursday, including one that's supposed to ease the preparation of data for machine learning applications.

Data Prep for Machine Learning: Splitting Dr. James McCaffrey of Microsoft Research explains how to programmatically split a file of data into a training file and a test file, for use in a machine ...