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How to use Wikipedia data to visualize the popularity of top athletes and Olympic sportsWe just witnessed a wonderful three weeks of sports as the 2024…
Image by Author The internet is brimming with resources for learning SQL. Most of them, of course, require paying for knowledge. These resources also mainly teach…
Image by storyset on Freepik NumPy is a Python package often used for mathematical and statistical applications. However, some still didn’t know NumPy could help…
Image by Author If you’re looking to make a career in data, you probably know that Python is the go-to language for data science. Besides…
Large Language Models (LLMs) have gained significant attention for their versatility, but their factualness remains a critical concern. Studies have revealed that LLMs can produce nonfactual,…
Multimodal Language Models MLLMs architectures have evolved to enhance text-image interactions through various techniques. Models like Flamingo, IDEFICS, BLIP-2, and Qwen-VL use learnable queries, while LLaVA…
Visual Simultaneous Localization and Mapping (SLAM) is a critical technology in robotics and computer vision that allows real-time state estimation for various applications. SLAM has become…
Businesses often use a third-party finance and accounting software, such as Quickbooks, to process financial and transactional data for efficient accounting and financial due diligence. A…
Quickbooks is an accounting software that helps small and medium businesses perform financial operations such as expense tracking, reconciliation, and invoicing. Quickbooks imports transaction data from…
Traditional molecular representations, primarily focused on covalent bonds, have neglected crucial aspects like delocalization and non-covalent interactions. Existing machine learning models have utilized information-sparse representations, limiting…