Discovery Day- Machine Learning Basics

Course Overview
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.

Days : 1
Price :




Who should attend
This event is intended for:

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