# Engineering-Focused Machine Learning Textbooks How to practically implement ML components in software development - **Source:** [r/MachineLearning](https://www.reddit.com/r/MachineLearning) - **Published:** 2026-07-20 - **Topic:** [Data & AI](https://brifing.si/c/data-ai) - **Original article:** - **On Brifing:** https://brifing.si/s/f15760fc-d670-4e9b-a259-5f36da6472ec ## ML from Engineering Perspective Integrating machine learning models into software systems requires engineering discipline more than theoretical knowledge. Practical challenges like data processing, infrastructure management, and model deployment demand skills different from scientific approaches. ## Industrial Application Challenges In companies, ML model lifecycles are often managed by fragmented teams. Coordinating processes like data ingestion, feature extraction, and deployment infrastructure can complicate practical solution development. ## Building ML Components from Scratch Developing ML components from scratch, rather than using third-party tools, requires more than model training and optimization. Engineering criteria like system design, scalability, and maintainability become paramount. ## Time Constraints in Business Today's business environment expects quick deployment of ML solutions. Engineering-focused resources emphasize techniques to transform complex models into working software within tight deadlines. ## Interdisciplinary Approach Successful ML applications require combining statistical knowledge with software engineering practices. Engineering books highlight infrastructure automation, CI/CD pipelines, and monitoring systems. ## Importance of Practical Solutions The real-world impact of ML models depends more on implementation quality than theoretical performance. Engineering resources provide methodologies to ensure models operate reliably in production environments. ## Sources covering this story - https://www.reddit.com/r/MachineLearning/comments/1v16l6a/are_there_some_textbooks_that_take_a_primarily/ — --- _Summary written by Brifing from the original reporting. Copyright in the original article belongs to its publisher; read the full piece at the link above._