all AI news
Job-SDF: A Multi-Granularity Dataset for Job Skill Demand Forecasting and Benchmarking
June 19, 2024, 4:45 a.m. | Xi Chen, Chuan Qin, Chuyu Fang, Chao Wang, Chen Zhu, Fuzhen Zhuang, Hengshu Zhu, Hui Xiong
cs.LG updates on arXiv.org arxiv.org
Abstract: In a rapidly evolving job market, skill demand forecasting is crucial as it enables policymakers and businesses to anticipate and adapt to changes, ensuring that workforce skills align with market needs, thereby enhancing productivity and competitiveness. Additionally, by identifying emerging skill requirements, it directs individuals towards relevant training and education opportunities, promoting continuous self-learning and development. However, the absence of comprehensive datasets presents a significant challenge, impeding research and the advancement of this field. To …
arxiv benchmarking cs.ai cs.lg dataset demand demand forecasting forecasting job skill type
More from arxiv.org / cs.LG updates on arXiv.org
MixerFlow: MLP-Mixer meets Normalising Flows
2 days, 10 hours ago |
arxiv.org
Machine Learning-Enabled Software and System Architecture Frameworks
2 days, 10 hours ago |
arxiv.org
Kernelised Normalising Flows
2 days, 10 hours ago |
arxiv.org
Jobs in AI, ML, Big Data
Data Scientist
@ Ford Motor Company | Chennai, Tamil Nadu, India
Systems Software Engineer, Graphics
@ Parallelz | Vancouver, British Columbia, Canada - Remote
Engineering Manager - Geo Engineering Team (F/H/X)
@ AVIV Group | Paris, France
Data Analyst
@ Microsoft | San Antonio, Texas, United States
Azure Data Engineer
@ TechVedika | Hyderabad, India
Senior Data & AI Threat Detection Researcher (Cortex)
@ Palo Alto Networks | Tel Aviv-Yafo, Israel