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LinkedIn Learning

Azure Machine Learning Development: 2 Learning ML Studio

via LinkedIn Learning

Overview

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Get an introduction to the concepts and mechanics of machine learning with Azure.

Syllabus

Introduction
  • Importance of Azure Machine Learning development
1. Artificial Intelligence (AI)
  • What is artificial intelligence (AI)?
  • Benefits of AI
2. Machine Learning (ML)
  • What is machine learning (ML)?
  • ML problem types
  • Supervised learning
  • Unsupervised learning
  • Semisupervised learning
  • Reinforcement learning
3. Machine Learning (ML) and Deep Learning (DL)
  • What is deep learning (DL)?
  • ML vs. DL
4. Machine Learning Algorithms
  • Clustering
  • Classification
  • Regression
  • Anomaly detection
5. Machine Learning Lifecycle and Azure Machine Learning
  • ML lifecycle
  • Azure ML tools
6. Machine Learning Operations (MLOps)
  • What is MLOps?
  • MLOps team roles
Conclusion
  • Next steps

Taught by

Sahil Malik

Reviews

4.6 rating at LinkedIn Learning based on 443 ratings

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