ML Building Blocks: Services and Terminology
Offered By: Amazon via Independent
Course Description
Overview
These two courses clarify both the machine learning stack and the terms and processes that will help you build a good foundation in machine learning. You’ll explore the AWS ML stack through application use cases, platform services, frameworks, interfaces, and infrastructure. You’ll also learn how a business problem becomes a machine learning problem, and how data is moved and processed throughout the pipeline to train models and create predictions.
Syllabus
- Introduction to AWS Machine Learning Services
- Machine Learning Terminology and Process
Tags
Related Courses
A Beginner's Guide to Kubernetes for Container OrchestrationPackt via FutureLearn A Day in the Life of a Data Engineer (Indonesian)
Amazon Web Services via AWS Skill Builder A Day in the Life of a Data Engineer (Japanese)
Amazon Web Services via AWS Skill Builder A Day in the Life of a Data Engineer (Simplified Chinese)
Amazon Web Services via AWS Skill Builder Accessing your AWS EC2 servers
Coursera Project Network via Coursera