Introduction to AI with Python
decision trees
A course by Rodrigo Montemayor , Programmer
About the video: decision trees
Overview
“In this lesson we will talk about one of the most intuitive algorithms in machine learning: decision trees.”
In this video lesson Rodrigo Montemayor addresses the topic: decision trees, 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 one of the algorithms more intuitive in Machine Learning, decision trees. Let's get started. Decision trees are a Machine Learning algorithm which can be used for classification and regression. Unlike other algorithms, This one is sometimes easier to understand, since based on the data, after training, create a tree to be able to predict, which we can understand visually very easily. For example, let's make a decision tree to decide if we will go to a concert. First we will ask if the weather is pleasant. Yes it is nice, Then we'll see if you have money. If...”
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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