Librería Samer Atenea
Librería Aciertas (Toledo)
Kálamo Books
Librería Perelló (Valencia)
Librería Elías (Asturias)
Donde los libros
Librería Kolima (Madrid)
Librería Proteo (Málaga)
Turn your machine learning knowledge into real-world solutions with this comprehensive, project-based guide designed for data scientists, software engineers, and AI practitioners looking to transition from experimentation to production.This hands-on guide walks you through the development of 50 fully functional machine learning models, covering a wide range of industries and applications-including finance, healthcare, e-commerce, NLP, computer vision, recommendation systems, and time-series forecasting. Each project is engineered to mirror real-world workflows, with an emphasis on scalability, performance, and deployment.You’ll learn to integrate cutting-edge tools such as TensorFlow, Scikit-learn, FastAPI, Docker, Kubernetes, and MLflow into your pipelines, while mastering MLOps practices that ensure reliability, reproducibility, and maintainability of models in production environments.Key features include:End-to-end development of 50 machine learning projectsGuidance on production-ready model design, training, testing, and deploymentStep-by-step implementation using Python, with clean, reusable codeReal-world datasets and scalable architecturesCoverage of key MLOps tools and CI/CD automation strategiesWhether you’re aiming to build your portfolio, advance your career, or deploy robust machine learning systems, this book gives you the practical skills and tools to succeed.
