#systemdesignonline

In machine learning system design, data collection and preprocessing form the foundation. Initially, collecting accurate and relevant data is crucial, as the quality of input data directly impacts the model’s performance. Preprocessing involves cleaning this data and transforming it into a format usable by machine learning algorithms.

Preparing for a system design interview requires a well-rounded approach that encompasses both technical knowledge and soft skills. By understanding the basics, researching the company, reviewing key concepts, practicing consistently, and refining your behavioral skills, you can increase your confidence and likelihood of success in these challenging interviews.