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Azure Machine Learning Development: 2 Learning ML Studio

Offered By: LinkedIn Learning

Tags

Microsoft Azure Courses Data Analysis Courses Machine Learning Courses Data Cleaning Courses Model Evaluation Courses Model Training Courses

Course Description

Overview

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

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