AWS Case Study - Machine Learning
AWS Case Study - Machine Learning
Amazon AWS,Machine Learning,Programming Languages,Development
Lectures -18
Duration -2 hours
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Course Description
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
Prerequisites
What are the prerequisites for this course?
- Prior knowledge of machine learning required
- Basic knowledge of AWS
Curriculum
Check out the detailed breakdown of what’s inside the course
Introduction
1 Lectures
- Introduction to Amazon Machine Learning (AML) 08:21 08:21
Datasource
3 Lectures
Value
3 Lectures
Datasource Handson
4 Lectures
ML Model Handson
7 Lectures
Instructor Details
Corporate Bridge Consultancy Private Limited
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