Python Is machine learning entirely based on decision tree?

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Machine learning algorithms are not solely based on decision trees; they encompass a variety of models including neural networks for classification and regression tasks. While decision trees are a fundamental component of many algorithms, other techniques such as support vector machines and ensemble methods also play significant roles. The discussion highlights the diversity of machine learning approaches beyond decision trees. Understanding the strengths and weaknesses of various algorithms is crucial for selecting the appropriate method for specific tasks. Overall, machine learning is a broad field with multiple algorithmic foundations.
Felipe Lincoln
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Are all the machine learning predictor algorithm based on decision tree? Even classifier and regressors?
 
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I tried a web search "the loss of programming ", and found an article saying that all aspects of writing, developing, and testing software programs will one day all be handled through artificial intelligence. One must wonder then, who is responsible. WHO is responsible for any problems, bugs, deficiencies, or whatever malfunctions which the programs make their users endure? Things may work wrong however the "wrong" happens. AI needs to fix the problems for the users. Any way to...

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