Introduction to AI with Python
Clustering with K-means
A course by Rodrigo Montemayor , Programmer
About the video: Clustering with K-means
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 K-Means clustering algorithm. an unsupervised learning Let's start. In this lesson. we'll explore an unsupervised learning algorithm. Frequently. we encounter large datasets lacking labels with correct answers. This algorithm helps us find patterns without predefined categories. We have a large amount of data and need to identify patterns. For instance. consider this particular set we observe. At first glance. it appears there are specific groupings. Yet. computers don't perceive it this way. view the data table and require algorithms to discern groups...”
This transcript is automatically generated, so it may contain mistakes.
Course summary for: Introduction to AI with Python
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Category
Artificial Intelligence, Web & App Design -
Areas
AI programming, Artificial Intelligence, Programming, Web Development
Rodrigo Montemayor
A course by Rodrigo Montemayor
Rodrigo Montemayor has been a programmer for more than 20 years. He has worked with many of the largest companies in Mexico and also some international ones in web, mobile, and desktop development. In addition, through his own company, he has created software for all types of clients, such as various technology brands, cybersecurity, automation, and artificial intelligence.
On the other hand, he shares content on the RingaTech Youtube channel with the aim of teaching and informing about technology, cybersecurity, and artificial intelligence. As part of the channel, he has developed some projects and games whose code is available to the public.
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