Diseño de sistemas de Machine Learning: Un proceso iterativo para aplicaciones listas para funcionar

The ultimate guide to designing reliable, scalable, easy-to-maintain, and adaptable machine learning systems! 🚀 With this comprehensive book, you'll learn a holistic approach to system design that covers everything from data preparation to model evaluation and maintenance.

💻 Discover how to: 🔍 Engineer high-quality training data and select the right metrics for your business needs.

📈 🚀 Automate the development, evaluation, deployment, and updating of machine learning models.

🤖 🛡️ Develop a monitoring system to detect and resolve issues quickly and efficiently.

🔍 🏗️ Build an adaptable platform for all your machine learning needs.

🌐 💪 Develop responsible and ethical machine learning systems that meet your business goals.

📈 As a co-founder of Claypot AI and experienced professional in the field, Chip Huyen provides real-world case studies and extensive references to back her claims.

🔍 Don't miss out on this opportunity to transform your machine learning systems! 🚀