News

A Comparative Study of AI-Powered Chatbot for Health Care. Journal of Computer and Communications, 13, 48-66. doi: 10.4236/jcc.2025.137003 . The need for this research arises from the increasing ...
With the recent first light milestone for the Vera Rubin Observatory, it's only a matter of time before one of astronomy's most long-awaited surveys begins. The Legacy Survey of Space and Time (LSST) ...
Rep Data, the industry's leading provider of high-quality research data and fraud prevention solutions, today announced the launch of "Second Shield." This new feature offers an adaptive layer of ...
Mastering programming languages like Python and understanding machine learning fundamentals is essential.Building real-world ...
Ensemble models, comprising multiple algorithms or simulations to improve prediction accuracy, are increasingly being applied ...
The regulation also requires students to learn how to use common data labeling tools, solve issues like incomplete or inaccurate data, understand key machine learning algorithms such as classification ...
Machine learning (ML) has been instrumental in solving complex problems and significantly advancing different areas of our lives. Decision tree-based methods have gained significant popularity among ...
In the current age of the Internet, network traffic increased exponentially, either based on user demand for network resources, QoS scheduling, or according to the development trend of network ...
Purushottam et al. (2016) devised an efficient algorithm based on hill climbing and to evaluate the probability of heart disease, decision trees were used. To employ classification techniques, they ...
Start with the basics: get a handle on what AI is, why it matters, and how it’s used in the real world. Make a plan: figure ...
To accomplish this, the system uses Monte Carlo Tree Search (MCTS), a decision-making algorithm famously used by DeepMind’s AlphaGo. At each step, AB-MCTS uses probability models to decide whether ...
Machine learning interview questions now focus on both theory and real-world applications.Understanding basics like overfitting, bias, and regres ...