Learning Objectives - Fundamental Principles of Machine Learning on Azure (30- 35%)

This video tutorial covers the learning objectives of the second module on the fundamental principles of machine learning. It highlights the module's exam weightage and introduces basic machine learning concepts, including its differences from traditional programming. The tutorial discusses common machine learning types such as regression, classification, and clustering, and explains key concepts like features, datasets, algorithms, and matrices. It also provides a detailed guide on creating machine learning solutions, including data ingestion, preparation, model training, evaluation, deployment, and management. The module concludes with an introduction to automated machine learning, featuring practical demos throughout.

What are the key concepts related to datasets in machine learning?

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What is automated machine learning and how is it demonstrated in this module?

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