Introduction to AI with Python

Overview

“In this lesson we will discuss the K-means clustering algorithm, an unsupervised learning algorithm.”

In this video lesson Rodrigo Montemayor addresses the topic: Clustering with K-means, which is part of the Domestika online course: Introduction to AI with Python. Learn the basics of artificial intelligence and how to apply it in problem-solving.

Partial transcription of the video

“In this lesson we will talk about the clustering algorithm with K-Means, an unsupervised learning algorithm. Let's get started. The algorithm that we will see in this lesson is an unsupervised learning one. Many times we have a lot of data that does not have a label with the correct answer. We simply have a lot of data and we need to find patterns. For example, let's say we see this set. Just seeing it with your eyes there seems to be certain groupings. However, computers don't see it this way. They see the table with the data and need algorithms to identify groups or clusters of data. For ...”

This transcript is automatically generated, so it may contain mistakes.

Course summary for: Introduction to AI with Python

• Level: Beginner
• 99% positive reviews (365)
• 22531 students
• 6 units
• 29 lessons (4h 22m)
• 16 downloads

• Category

  Artificial Intelligence, Web & App Design

• Areas

  AI programming, Artificial Intelligence, Programming, Web Development