Copy Other Peoples Work

2023-09-24 · Source: Brandon Rohrer · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Data Science & Analytics · Depth: Novice, quick

Summary

The Cortana Intelligence Gallery, part of Microsoft's Azure Machine Learning cloud service, offers a repository of pre-built machine learning experiments and models. This gallery allows users to browse, search, and import contributed experiments directly into their Azure Machine Learning Studio workspace. Each imported experiment includes the original dataset, data processing steps, algorithms, and result saving methods, providing a functional starting point. For example, a user interested in clustering can find and open a clustering experiment, then modify it with their own data and parameters. The gallery also features "how-to" examples, such as an experiment demonstrating 15 different methods for handling missing values, complete with explanations of their benefits and appropriate use cases.

Key takeaway

For Data Scientists or AI Students looking to quickly prototype or learn new machine learning techniques, exploring the Cortana Intelligence Gallery is highly recommended. You can import fully functional experiments, including data and processing, directly into your Azure Machine Learning Studio, saving significant setup time and providing a robust foundation to adapt for your specific projects.

Key insights

The Cortana Intelligence Gallery provides reusable Azure ML experiments to accelerate data science projects.

Principles

• Build upon existing, validated ML experiments.
• Leverage community contributions for rapid prototyping.

Method

Browse the Cortana Intelligence Gallery, select an experiment (e.g., clustering), and click "Open in Studio" to import a copy into your Azure ML workspace, including data and processing steps.

In practice

• Find examples for specific ML algorithms.
• Learn data preprocessing techniques like handling missing values.

Topics

• Azure Machine Learning
• Cortana Intelligence Gallery
• Machine Learning Experiments
• Data Science Education
• Clustering Algorithms

Best for: Data Scientist, AI Student, Machine Learning Engineer

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Editorial summary, takeaway, and curation by AIssential. Original article published by Brandon Rohrer.