AWS Discovery Day - Machine Learning Basics

• 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? 

This event is intended for: 

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

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