Machine Learning| Types of Machine Learning| Supervised Learning| Unsupervised |5Minutes Info Ep 139
Summary
The video provides an overview of machine learning, highlighting its two main types: supervised and unsupervised learning. It delves into supervised machine learning, focusing on its applications in predicting outcomes and recognizing patterns. Additionally, it explains self-supervised machine learning, which involves learning from one part of the input to predict another. The video also touches on semi-supervised machine learning, a blend of supervised and unsupervised learning, and reinforcement machine learning, which teaches agents to make decisions to reach specific goals.
Introduction
Welcome message and overview of the topics to be discussed in the episode.
Types of Machine Learning
Explanation of machine learning and its two main types: supervised and unsupervised learning.
Supervised Machine Learning
Details about supervised machine learning and its applications such as predicting outcomes and recognizing patterns.
Self-Supervised Machine Learning
Description of self-supervised machine learning and its process of learning from one part of the input to predict another part.
Semi-Supervised Machine Learning
Explanation of semi-supervised machine learning, which combines supervised and unsupervised learning to train AI models.
Reinforcement Machine Learning
Overview of reinforcement machine learning and how it teaches agents to make decisions to achieve goals.
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