Are you interested in machine learning, but not sure where to start? Join us for this session with an AWS expert and demystify the basics. Using real-world examples, you’ll learn about important concepts, terminology, and the phases of a machine learning pipeline. Learn how you can unlock new insights and value for your business using machine learning.
Key Topics Covered
- What is Machine Learning?
- What is the machine learning pipeline, and what are its phases?
- What is the difference between supervised and unsupervised learning?
- What is reinforcement learning?
- What is deep learning?
Intended Audience
- Developers
- Solution Architects
- Data Engineers
Key Topics Covered
- What is Machine Learning?
- What is the machine learning pipeline, and what are its phases?
- What is the difference between supervised and unsupervised learning?
- What is reinforcement learning?
- What is deep learning?
Intended Audience
- Developers
- Solution Architects
- Data Engineers
Event Outline
1. Machine learning basics
• Classical programming vs. machine learning approach
• What is a model?
• Algorithm features, weights, and outputs
2. What is Deep Learninig?
• How does deep learning work?
• How deep learning is different
3. The Machine learning Pipeline
• Overview
• Business problem
• Data collection and integration
• Data processing and visualization
• Feature engineering
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FAQs
An AWS Discovery Day is a online virtual event dleivered by an Authorised Training Partner.
No, AWS Disovery Days are free of charge events for the attendees
There are five types of discovery day. (AWS Cloud Practitioner | Machine Learning basics | Securing your AWS Cloud | Fundamentals of a modern data strategy on AWS | Strategies and tools to perform large scale migrations)
You may enroll upto 250 people in a single event, with no restriction on the number of events
Discovery Days are introductory events not designed to replace classroom training courses.
