Computer vision is a field of artificial intelligence that focuses on enabling computers to interpret and understand the visual world. It involves the development of algorithms and techniques that allow computers to extract information from images or videos.
Decision trees are a popular machine learning algorithm used for classification and regression tasks. They are easy to interpret and visualize, making them a popular choice for decision-making tasks.
Feature selection X Feature extraction
It's note true that more atributtes will make a model better.
1. We create a probability table for each class.
K-Means Clustering is an unsupervided machine learning model, that belongs to the class of clustering algotithms.
Model validation is the process of evaluating the performance of a machine learning model. It is essential to ensure that the model generalizes well to new, unseen data. There are several techniques for model validation, including:
Naive Bayes is a classification algorithm based on Bayes' theorem. It is simple and fast, and it is often used as a baseline for comparison with other more complex algorithms.
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Summary