10 Challenging Problems in Data Science ResearchYang, QiangWu, Xindong
5. Data Mining in a Network Setting(网络挖掘) 5.1. Community and social networks(社交网络) 识别社交网络的社区结构(如拓扑和集群)。 动态行为(如增长因素,健壮性和功能效率)。同样也存在于生物信息学研究中。 5.2. Mining in and for computer networks — high-speed mining of high-speed streams 计算机...
Data integration involves consolidating data residing in different sources to provide a single source of truth for users. The process involves data cleansing and ETL mapping. It provides the foundation for actionable and effective business intelligence. Byinvesting in data integration tools,organizations c...
TECH-GB_2336 will teach you how to think about data based problems in the business world through the lens of data analytics. We will focus on data-analytic thinking, how to approach problems, how to develop insights using data, how to apply machine lea
big dataCommercial success of big data has led to speculation that big-data-like reasoning could partly replace theory-based approaches in science. Big data typically has been applied to 'small problems', which are well-structured cases characterized by repeated evaluation of predictions. Here, we...
Unlike R, Python was not built from the ground up with data science in mind, but there are plenty of third party libraries to make up for this. A much more exhaustive list of packages can be found later in this document, but these four packages are a good set of choices to start ...
AI can analyze complex scientific data to identify patterns and relationships that might be missed by human researchers. This can lead to breakthroughs in fields like medicine, materials science, and astronomy. 6. Robotics and Automation AI is playing a key role in the development of intelligent ...
IoT is still in its infancy, and the number of devices, wearables, appliances and vehicles equipped with sensors and IP addresses is expanding at a rate beyond compare. To battle this discrepancy, businesses must invest in the architecture of systems and processes to support their IoT ...
(2019). Big data in healthcare: Management, analysis and future prospects. Journal of Big Data, 6(1), 1–25. Google Scholar Davenport, T., & Harris, J. (2017). Competing on analytics: Updated, with a new introduction: The new science of winning. Harvard Business Press....
Evaluate a natural language code generation model on real data science pedagogical notebooks! Data Science Problems (DSP) includes well-posed data science problems in Markdown along with unit tests to verify correctness and a Docker environment for repro