Practical Full Stack Machine Learning: A Guide to Build Reliable, Reusable, and Production-Ready Full Stack ML Solutions (English Edition)
by Alok Kumar
Practical Full Stack Machine Learning is a guide to building reliable, reusable, and production-ready machine learning solutions. It presents a full stack perspective on ML development, helping readers connect machine learning with the wider process of creating and delivering robust software applications.
About This Book
Practical Full Stack Machine Learning introduces the process of creating complete machine learning solutions rather than focusing only on individual models.
The book emphasizes reliable and reusable approaches for developing machine learning applications.
It is centered on production-ready full stack ML solutions, connecting machine learning work with the broader software development process.
Designed as a practical guide, it is suitable for readers seeking a structured introduction to building and delivering full stack machine learning systems.
Reviews
No reviews yet. Be the first to review this book!