AWS Certified Data Analytics Specialty 2021 – Hands-On - Amazon ML Service

The video tutorial provides an overview of Amazon Machine Learning (ML) service, highlighting its features, such as visualization tools and wizards for model creation without coding. It explains how Amazon ML can be used for predictions, both in real-time and batch processing, and discusses its fully managed nature. The tutorial also covers the limitations of Amazon ML, including its outdated status and algorithm restrictions. It provides examples of suitable applications like fraud detection and forecasting, and outlines the cost model and data limitations. Finally, it identifies anti-patterns and tasks unsuitable for Amazon ML.

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

Evaluate responses using AI:

OFF

How does the cost model of Amazon ML work?

Evaluate responses using AI:

OFF

What types of learning tasks should not be attempted with Amazon ML?

Evaluate responses using AI:

OFF