Machine Learning Operations (MLOps): Getting Started - Español

External: Coursera Courses ↗ · Coursera

Open Course on External: Coursera

Free to audit · Opens on External: Coursera

Machine Learning Operations (MLOps): Getting Started - Español

Coursera · Beginner ·📐 ML Fundamentals ·3mo ago

Key Takeaways

Introduces Machine Learning Operations (MLOps) using Google Cloud for implementing, evaluating, supervising, and operating machine learning systems

Original Description

En este curso, se presentan a los participantes las herramientas y prácticas recomendadas de MLOps para implementar, evaluar, supervisar y operar sistemas de AA de producción en Google Cloud. Las MLOps son una disciplina enfocada en la implementación, prueba, supervisión y automatización de sistemas de AA en producción. Los ingenieros profesionales de aprendizaje automático usan herramientas para mejorar y evaluar continuamente los modelos implementados. Trabajan con científicos de datos (o pueden serlo) que desarrollan modelos para ofrecer velocidad y rigor en la implementación de modelos con el mejor rendimiento.
Watch on External: Coursera ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related Reads

📰
Seq2Seq and Encoder-Decoder: the one-vector bottleneck that led to attention
Learn how Seq2Seq and Encoder-Decoder models led to the development of attention mechanisms in AI
Dev.to AI
📰
UMAP: a faster map of high-dimensional data (and how it beats t-SNE)
Learn how UMAP improves upon t-SNE for high-dimensional data visualization, offering faster performance and preserving global structure
Dev.to AI
📰
It’s Time We Mentioned `Handover_Document.md`…
Learn the importance of Handover_Document.md in streamlining machine learning workflows and reducing unnecessary work
Medium · Machine Learning
📰
AI Benchmarks and Leaderboards: Why Reliability Matters More Than Scores
Learn why reliability matters more than scores in AI benchmarks and leaderboards, and how to evaluate models beyond simple rankings
Medium · Machine Learning
Up next
1. Overview of Artificial Intelligence | What is AI? Fundamental Concepts & Complete History of AI
Professor Rahul Jain
Watch →