Advances in Machine Learning Systems: A Comprehensive Survey

This comprehensive survey examines recent advances in machine learning systems, focusing on scalability, efficiency, and deployment challenges. The paper presents a systematic analysis of current approaches to distributed training, model optimization, and production deployment, offering insights into emerging trends and future directions in the field.