ML Introduction
Lesson 1 of 19 in Coddy's Introduction to Machine Learning course.
Welcome to the exciting world of Machine Learning (ML)! In this lesson, we'll introduce you to the fundamental concepts of ML and set the stage for your journey ahead.
Machine Learning is a branch of Artificial Intelligence (AI) that enables computers to learn and improve from experience without being explicitly programmed. The goal of ML is to let the program learn patterns and make predictions or decisions based on data.
ML has numerous real-world applications, such as image recognition, natural language processing, recommendation systems, and more. It has the power to revolutionize various industries and solve complex problems that would be difficult or impractical to tackle using traditional programming approaches.
The objectives of ML models are categorized broadly into three main types:
- Supervised learning
- Unsupervised learning
- Reinforcement learning.
In this course, we will cover how to implement basic supervised learning and unsupervised learning algorithms.
Get ready to embark on an exciting journey into the world of Machine Learning!
Try it yourself
This lesson doesn't include a code challenge.
