AWS Certified Data Analytics Specialty 2021 - Hands-On! - Amazon Machine Learning Service

The video tutorial provides an overview of Amazon Machine Learning (ML), highlighting its features, capabilities, and limitations. It explains how Amazon ML offers visualization tools and wizards for model creation without coding, and discusses its use cases such as fraud detection, demand forecasting, and social media classification. The tutorial also covers the cost model, emphasizing the pay-as-you-go approach, and outlines the limitations regarding data size and job concurrency. Additionally, it identifies anti-patterns and tasks unsuitable for Amazon ML, such as deep learning and large-scale data processing.

What types of machine learning tasks cannot be performed by Amazon ML?

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Explain the cost model of Amazon ML.

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What is the significance of Amazon ML being a fully managed service?

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