AWS Case Study – Machine Learning

Through this training we are going to guide you through the process of building a machine learning model using Amazon Web Services.

5

 2h 31m | 18 Videos | 58590 Views |   Intermediate

Machine learning is a scientific discipline that explores the construction and study of algorithms that can learn from data. Such algorithms operate by building a model from example inputs and using that to make predictions or decisions, rather than following strictly static program instructions. Machine learning is closely related to and often overlaps with computational statistics; a discipline that also specializes in prediction-making.

Through this training we are going to guide you through the process of building a machine learning model using Amazon Web Services.

The training will include the following;

1. What is Amazon Machine Learning (AML)?

2. Accessing AML

3. Pricing Info

4. ML Concepts

5. Data Formats for ML

6. Using Amazon S3 with AML

7. AML process

8. Evaluating and Interpreting

Target Customers:

• Anyone who wants to learn about data and analytics
• Data Engineers
• Analysts
• Architects
• Software Engineers
• IT operations
• Technical managers

Pre-Requisites:

• Prior knowledge of machine learning required
• Basic knowledge of AWS

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