International Conference on Advanced Machine Learning Models in Data Science
(ICAMLDS - 27)

7th - 8th June 2027 Melbourne, Australia (Hybrid Event)

Call for Paper

The ICAMLDS is committed to addressing global challenges through impactful research and sustainable solutions. It brings together researchers dedicated to advancing knowledge for societal benefit. Focusing on Data Science, the conference promotes research aligned with global development goals and long-term sustainability. Authors are invited to submit papers addressing, but not limited to, the following areas:

  • Advanced machine learning techniques
  • Deep learning models in data science
  • Ensemble methods for predictive analytics
  • Feature selection in machine learning
  • Model evaluation and validation techniques
  • Transfer learning applications in data
  • Unsupervised learning in big data
  • Reinforcement learning in practice
  • Machine learning for time series data
  • Ethics of machine learning applications
  • Explainable AI in data science
  • Big data challenges for machine learning
  • Applications of neural networks
  • Machine learning in finance analytics
  • Data preprocessing for machine learning
  • Scalable machine learning algorithms
  • Applications of AI in industry
  • Collaborative machine learning frameworks
  • Future directions in machine learning
  • Machine learning for social good
Review & Publication

All submissions will be reviewed for their contribution to global impact and research quality. Accepted papers will be presented and considered for publication in reputed platforms.

Registration

Join participants from around the world by completing your registration and becoming part of a global research community.

Publication

Accepted papers will gain international exposure through conference presentations and publication opportunities.

Sponsored & Indexed by