Abstract: In the present digital era, being skilled and updated on modern software development practices has become of crucial importance for software engineering graduates. Moreover, the freelancing ...
Abstract: The main purpose of this article is to model the topic of OVO Fintech user comments using LDA. This research is a word processing research conducted using text mining. The statistical ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. With the rapid growth of artificial intelligence and machine learning across ...
Driven by the “dual carbon” goals, the new energy vehicle (NEV) industry has seen rapid growth. However, the lack of adequate charging and swapping infrastructure has become a significant bottleneck ...
This project has evolved from a simple data harvester into a sophisticated analysis engine. It connects to the IBKR API, downloads news for multiple symbols over a specified date range, and then ...
The rise of artificial intelligence (AI) deep learning algorithms is helping to accelerate brain-computer interfaces (BCIs). Published in this month’s Nature Neuroscience is new research that shows ...
In today’s data-driven world, the ability to effectively analyze data is a key factor in the success of many enterprises. By leveraging data analysis tools and techniques, businesses can gain insights ...
Linear Discriminant Analysis (LDA) effectively separates data points by learning relationships in high dimensional data. LDA is primarily utilised for classification, dimension reduction, and data ...
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