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Learn about machine learning at a high level and get ready to use Azure Machine Learning Studio to train machine learning models. In addition, learn how to use Azure Machine Learning labs to perform a variety of tasks, such as data import, transformation, and management, as well as training, validating, and evaluating models.
Syllabus :
1. Introduction to Machine Learning
- Gain a high-level introduction to the field of machine learning and train your first machine learning model using Azure Machine Learning Studio
2. Model Training
- Learn how to prepare data and then transform it into trained machine learning models and get an introduction to ensemble learning and automated machine learning
3. Supervised & Unsupervised Learning
- Dive into two of Machine Learning's fundamental approaches: supervised and unsupervised learning and learn about classification, regression, clustering, representation learning, and more
4. Applications of Machine Learning
- This lesson looks at some of the most important applications of ML, including deep learning, similarity learning, text classification, feature learning, and anomaly detection
5. Managed Services for Machine Learning
- Learn how to enhance your ML processes with managed services and discuss computing resources, the modeling process, automation via pipelines, and more
6. Responsible AI
- This lesson will tackle some of the potential implications and challenges posed by ML and AI—as well as principles for building responsible AI that avoids harming others
