Interdisciplinary Research

Interdisciplinary research is a collaborative approach that involves researchers from different academic disciplines working together to address a common research question or problem. In the context of data science and artificial intelligence, interdisciplinary research involves combining knowledge and techniques from various fields such as computer science, statistics, mathematics, and domain-specific areas to develop innovative solutions to complex problems. This approach allows for a more comprehensive understanding of the problem and can lead to more effective and efficient solutions. Interdisciplinary research also promotes the development of new methodologies and tools that can be applied across multiple fields.
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  • Multi-dimensional Space: In data science, multi-dimensional space refers to a mathematical concept where data points are represented in a space with more than three dimensions. Each dimension represents a different variable or feature of the data. Multi-dimensional ... Read More >>
  • MQTT: MQTT (Message Queuing Telemetry Transport) is a lightweight messaging protocol designed for IoT (Internet of Things) devices and low-bandwidth, high-latency or unreliable networks. It is a publish-subscribe protocol that allows devices to s ... Read More >>
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