Azure Machine Learning (or Azure Machine Learning Service and abbreviation AML) is Azure’s cloud service for creating, managing and productionalising machine learning projects. It is a collaborative tool for Data Scientists, Machine Learning Engineers, and data engineers, covering their daily and operational tasks. From creating and training to deploying and managing predictive models and machine learning solutions.
- Dec 01 2022: What is Azure Machine Learning? (blogpost)
- Dec 02 2022: Creating Azure Machine Learning Workspace (blogpost)
- Dec 03 2022: Understanding Azure Machine Learning Studio (blogpost)
- Dec 04 2022: Getting data to Azure Machine Learning workspace (blogpost)
- Dec 05 2022: Creating compute and cluster instances in Azure Machine Learning (blogpost)
- Dec 06 2022: Environments in Azure Machine Learning (blogpost)
- Dec 07 2022: Introduction to Azure CLI and Python SDK (blogpost)
- Dec 08 2022: Python SDK namespaces for workspace, experiments and models (blogpost)
- Dec 09 2022: Python SDK namespaces for environment, and pipelines (blogpost)
- Dec 10 2022: Connecting to client using Python SDK namespaces (blogpost)
- Dec 11 2022: Creating Pipelines with Python SDK (blogpost)
- Dec 12 2022: Creating jobs (blogpost)
- Dec 13 2022: Automated ML (blogpost)
- Dec 14 2022: Registering the models (blogpost)
- Dec 15 2022: Getting to know MLflow (blogpost)
- Dec 16 2022: MLflow in action with xgboost (blogpost)
- Dec 17 2022: Building responsible AI dashboard with Python SDK (blogpost)
- Dec 18 2022: Statistical analysis, plotting graphs and feature engineering (blogpost)
- Dec 19 2022: Statistical analysis and ML comparison of prediction models(blogpost)
- Dec 20 2022: Handling kernels, python packages, YAML files in notebooks and keeping structure and good practices (blogpost)
- Dec 21 2022: Using Azure Machine Learning terminal (blogpost)
- Dec 22 2022: Batch endpoints for batch scoring (blogpost)
- Dec 23 2022: Working with R (blogpost)
- Dec 24 2022: Further reading and code material for Azure Machine Learning (blogpost)
Additional Material as a collection of demo materials from different sessions is also available for use in this repository.
All posts were originally posted on my blog and made copy here at Github. On Github is extremely simple to clone the code, markdown file and all the materials.
Feel free to suggest any new topics that you would like to be covered.