What are some common hurdles in putting machine learning models into production?
Common hurdles in putting machine learning models into production include data quality issues, model scalability challenges, deployment complexities, monitoring and maintenance requirements, integration with existing systems, and ensuring model performance and accuracy in real-world settings.