While Ali Aminian’s guide is exceptional, a responsible article must note its limitations. The field moves fast. As of 2025, interview loops are adding:
Categorize features into user-based, item-based, and contextual features. While Ali Aminian’s guide is exceptional, a responsible
Detail text features (embeddings, TF-IDF), categorical features (one-hot encoding, target encoding), and numerical features (normalization, bucketization). While Ali Aminian’s guide is exceptional
What specific features will the model use? How do we handle missing values, normalization, and categorical encoding? categorical features (one-hot encoding
: Handling massive datasets and real-time serving.
This comprehensive guide explores the core methodologies of ML system design, breaks down how to structure your preparation, and explains how to utilize portable reference materials effectively. Understanding the ML System Design Framework
Master the Machine Learning System Design Interview: A Complete Guide