Raspberry Pi: Introduction to Machine Learning and AI
From self-driving cars to determining someone's age, artificial intelligence (AI) systems trained with machine learning (ML) are being used more and more. But what is AI, and what does machine learning actually involve?
In this four-week course from the Raspberry Pi Foundation, you'll learn about different types of machine learning, and use online tools to train your own AI models. You'll find out about the types of problems that machine learning can help to solve, discuss how AI is changing the world, and think about the ethics of collecting data to train a machine learning model.
What you'll learn
Over the following four weeks, you will:
Demonstrate several working machine learning models
Explain the different types of machine learning, and the problems that they are suitable for
Compare supervised, unsupervised, and reinforcement learning
Discuss the ethical issues surrounding machine learning and AI
This course will cover:
The history of AI
What are AI and machine learning?
Using AI for classification
What problems can AI solve?
Collecting and preparing data for machine learning
Potential problems with AI
The machine learning process
Supervised learning: Decision trees and nearest neighbour
Unsupervised learning
Reinforcement learning
How neural networks work
Writing a good ML resource
Date:23rd Jan - 2nd Aug
Free, online, self paced, 4 weeks (2 - 4 hours per week)
