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Overview
The “Azure Machine Learning Development: 1 Basic Concepts” course provides a foundational introduction to Microsoft Azure’s machine learning ecosystem. Designed for beginners, data scientists, and developers, this course covers the essential concepts and tools needed to start building and deploying machine learning models on Azure. Participants will learn about the core components of Azure Machine Learning, including workspaces, datasets, compute resources, and experiments. The course explains key concepts such as supervised and unsupervised learning, data preparation, and model lifecycle management...
Syllabus
Introduction
- Welcome
- What you should know
1. The Landscape of AI
- What is AI?
- What is Azure machine learning?
- Why is AI suddenly so relevant?
2. What Is Machine Learning?
- What is machine learning?
- Supervised learning
- Unsupervised machine learning
- Reinforcement learning
3. Data Science for Absolute Beginners
- How good is your data?
- Ask the right question
- Predict an answer
4. Machine Learning Algorithms
- Clustering
- Anomaly detection
- Classification
- Regression
Conclusion
- Next steps
Instructor
Zarina Meeran
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