I like to take a 2-hour introductory webinar providing fundamental concepts of machine learning, with a practical focus on linear regression and closed-form solutions alone.
Learning Objectives
Participants will:
- Understand basic machine learning concepts
- Learn the mathematics behind linear regression
- Grasp closed-form solutions for linear regression
- See practical implementation examples using Python code.
Who can attend this session?
Target Audience
- Students interested in ML
- Professionals wanting to understand ML basics
- Anyone with a basic mathematics background curious about ML
Materials Provided
- Python notebook with examples
- Reference list for further reading
Date: 9th Nov 2024
Time: 11.30 AM