Production Machine Learning Systems - Español

Coursera Courses ↗ · Coursera

Open Course on Coursera

Free to audit · Opens on Coursera

Production Machine Learning Systems - Español

Coursera · Beginner ·📐 ML Fundamentals ·1mo ago
En este curso, analizaremos los componentes y las prácticas recomendadas de la creación de sistemas de AA de alto rendimiento en entornos de producción. Veremos algunas de las consideraciones más comunes tras la creación de estos sistemas, p. ej., entrenamiento estático, entrenamiento dinámico, inferencia estática, inferencia dinámica, TensorFlow distribuido y TPU. Este curso se enfoca en explorar las características que conforman un buen sistema de AA más allá de su capacidad de realizar predicciones correctas.
Watch on Coursera ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related AI Lessons

7 Common Java Streams Mistakes and How to Avoid Them
Learn to avoid common Java Streams mistakes and improve your coding skills
Medium · Programming
Implementing an Item-Based Recommendation System from Scratch in Python
Learn to implement an item-based recommendation system from scratch in Python for personalized suggestions
Medium · Machine Learning
Implementing an Item-Based Recommendation System from Scratch in Python
Learn to build an item-based recommendation system from scratch in Python for personalized user experiences
Medium · Data Science
The Threshold Is a Business Decision, Not a Statistical One
Learn how to build a production-grade fraud detection system and why statistical thresholds are business decisions, not just statistical ones
Medium · Machine Learning
Up next
Capstone Assignment
Coursera
Watch →