Description
Who should attend
This event is intended for:
Developers
Solution architects
Data engineers
Individuals interested in building solutions with machine learning – no machine learning experience required!
Course Objectives
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?
Outline: AWS Discovery Day – Machine Learning Basics (AWSDD-MLB)
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
