Quickstart: Get started with Azure Machine Learning - Azure Machine Learning

Ganesh | AI Engineer on Instagram: "Most ML beginners stop at a Jupyter notebook. Real engineers know how to productionize a model end-to-end. This is how I shipped ML features at Microsoft (Azure-based, but same concepts apply to AWS/GCP). If you’re early in your career, practice this with free student credits on cloud. Here’s the path 👇 ⸻ 1️⃣ Two steps of an ML model Training pipeline → data → features → training → metrics → registry. Inference pipeline → real-time endpoint (REST) or batch jo

288K views | Test your skills in implementing and running machine learning workloads on Microsoft Azure | Microsoft Developer | Facebook

Manage training & deploy computes (studio) - Azure Machine Learning

Azure Machine Learning Studio