Azure ML

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Microsoft Azure Machine Learning (Coursera)

Apr 22nd 2024
Microsoft Azure Machine Learning (Coursera)
Course Auditing
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Machine learning is at the core of artificial intelligence, and many modern applications and services depend on predictive machine learning models. Training a machine learning model is an iterative process that requires time and compute resources. Automated machine learning can help make it easier. In this course, you will [...]
Apr 22nd 2024
Course Auditing
42.00 EUR/month

MLOps Platforms: Amazon SageMaker and Azure ML (Coursera)

Apr 15th 2024
MLOps Platforms: Amazon SageMaker and Azure ML (Coursera)
Course Auditing
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Effort
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In MLOps Platforms: Amazon SageMaker and Azure ML you will learn the necessary skills to build, train, and deploy machine learning solutions in a production environment using two leading cloud platforms: Amazon Web Services (AWS) and Microsoft Azure. This course is also a great resource for individuals looking to [...]

Developing AI Applications on Azure (Coursera)

This course introduces the concepts of Artificial Intelligence and Machine learning. We'll discuss machine learning types and tasks, and machine learning algorithms. You'll explore Python as a popular programming language for machine learning solutions, including using some scientific ecosystem packages which will help you implement machine learning. [...]

Introduction to Machine Learning using Microsoft Azure (Udacity)

Self Paced
Introduction to Machine Learning using Microsoft Azure (Udacity)
Free Course
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Gain a high-level introduction to the field of machine learning and prepare to use Azure Machine Learning Studio to train machine learning models. Plus, learn how to perform a variety of tasks on Azure Machine Learning labs — from data import, transformation and management to training, validating and evaluating [...]

Machine Learning Operations 1 (MLOps1-AML): Deploying AI & ML Models in Production using Microsoft Azure Machine Learning (AML) (edX)

Most data science projects fail. There are various reasons why, but one of the primary reasons is the challenge of deployment. One piece to the deployment puzzle is understanding how data engineers can effectively work with data scientists to monitor and iterate on model performance, which is why we [...]