AWS DISCOVERY DAY: MACHINE LEARNING BASICS

This event is intended for:

- Developers
- Solution architects
- Data engineers
- Individuals interested in building solutions with machine learning - no machine learning experience required!

During this event, you will learn:

• 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?

Section 1: Machine learning basics

• Classical programming vs. machine learning approach
• What is a model?
• Algorithm features, weights, and outputs
• Machine learning algorithm categories
• Supervised algorithms
• Unsupervised algorithms
• Reinforcement learning

Section 2: What is deep learning?

• How does deep learning work?
• How deep learning is different

Section 3: The Machine Learning Pipeline

• Overview
• Business problem
• Data collection and integration
• Data processing and visualization
• Feature engineering
• Model training and tuning
• Model evaluation
• Model deployment

Section 4: What are my next steps?

• Resources to continue learning

Courses

• Deep Learning on AWS
• MLOps Engineering on AWS
• Practical Data Science with Amazon SageMaker
• The Machine Learning Pipeline on AWS

Resources

• AWS Ramp-Up Guide: Machine Learning