Elon Musk's social media platform X will make its algorithm open source in seven days, the billionaire businessman said on Saturday, including the code that governs what posts are recommended to users ...
If you happen to be on a Texas highway sometime this summer, and see a 50,000-pound semi truck barreling along with nobody behind the wheel, just remember: A self-driving truck is less likely to kill ...
ABSTRACT: From the perspective of student consumption behavior, a data-driven framework for screening student loan eligibility was developed using K-means clustering analysis and decision tree models.
After our decade-long relationship, I’m breaking up with Spotify. It’s nothing personal. It’s just that Spotify and I have grown up, but we haven’t grown together. Over the years, I’ve been tempted to ...
Computer vision systems combined with machine learning techniques have demonstrated success as alternatives to empirical methods for classification and selection. This study aimed to classify tomatoes ...
Introduction: The unmanned aerial vehicle -based light detection and ranging (UAV-LiDAR) can quickly acquire the three-dimensional information of large areas of vegetation, and has been widely used in ...
The ML Algorithm Selector is an interactive desktop application built with Python and Tkinter. It guides users through a decision-making process to identify suitable machine learning algorithms for ...
Abstract: Utilizing data mining tasks such as classification on spatial data is more complex than those on non-spatial data. It is because spatial data mining algorithms have to consider not only ...
A comprehensive implementation of a Decision Tree classifier using the ID3 algorithm, featuring advanced visualization capabilities and support for multiple datasets. Built entirely from scratch ...
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