International Conference on Machine Learning and Data Science Integration - (ICMLDSI-26)


30th - 31st December, 2026 | Moscow, Russia

Multi-format (In-person/Virtual)

Registration Options

Explore conference registration categories designed for every mode of participation.

Important Dates

Pre-registration Deadline

30th November, 2026

Paper Submission Deadline

5th December, 2026

Last Date Of Registration

15th December, 2026

Date Of Conference

30th - 31st December, 2026

Downloads

Call for Papers

The (ICMLDSI-26) is dedicated to advancing research excellence by bringing together leading scholars, scientists, and professionals from across the globe. It provides a platform for the dissemination of high-quality research and innovative methodologies.

With a strong focus on Artificial Intelligence,Data Science,Machine Learning, the conference promotes research that contributes to academic depth, practical insights, and interdisciplinary knowledge integration.

Authors are invited to submit papers addressing, but not limited to, the following areas:

  • Integrating machine learning with data science
  • Data preprocessing techniques for machine learning
  • Machine learning in big data environments
  • Collaborative filtering in data science
  • Machine learning for time series analysis
  • Data science methodologies for machine learning
  • Challenges in machine learning integration
  • Machine learning for anomaly detection
  • Data-driven insights from machine learning
  • Machine learning in IoT applications
  • Ethical implications of data science integration
  • Machine learning frameworks and libraries
  • Real-time data processing with machine learning
  • Machine learning for predictive maintenance
  • Data science tools for machine learning
  • Interdisciplinary approaches to data science
  • Machine learning for customer behavior analysis
  • Impact of AI on data science methodologies
  • Machine learning in education and training
  • Future of machine learning and data science

Peer Review Process

All submissions will be evaluated through a structured peer-review process to ensure academic rigor and contribution to the field. Accepted papers will be presented and may be considered for publication in high-quality journals and indexed conference proceedings.

Registration Details

Secure your participation by completing the registration process at the earliest. Limited presentation slots are allocated on a first-come, first-served basis.

Publication Opportunities

High-quality submissions will be prioritized for publication opportunities in recognized journals and indexed proceedings.