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, ...

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 ...

Data preparation for machine learning. Once you have a data source to train on, the next step is to ensure it can be used for training. The catchall term for ensuring consistency in the data to be ...

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 ...

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 ...

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.