Description
Product Category: Best Practices Guides
Format: PDF
Best Practices for Data Collection and Preprocessing for AI Models
Effective data collection and preprocessing are critical foundations for successful AI model development and deployment. These initial stages of the AI development pipeline significantly impact model performance, reliability, and fairness. This comprehensive guide outlines essential practices for gathering high-quality data and transforming it into formats optimal for AI model training. The guide covers strategies for data collection, cleaning, transformation, and validation, ensuring that organizations can build robust datasets that lead to reliable and unbiased AI models.
Paid subscribers can login and download the PDF file. In addition to this, there are 100 other Best Practices guides in this series. For a complete list of Best Practices, please visit https://www.kognition.info/best-practices-guides/
