International Conference on Machine Learning Applications in Data Science - (ICMLADS-26)


4th - 5th December, 2026 | Stockholm, Sweden

Multi-format (In-person/Virtual)

Registration Options

Explore conference registration categories designed for every mode of participation.

Important Dates

Pre-registration Deadline

4th November, 2026

Paper Submission Deadline

9th November, 2026

Last Date Of Registration

19th November, 2026

Date Of Conference

4th - 5th December, 2026

Downloads

Call for Papers

The (ICMLADS-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 Data Science, 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:

  • Machine learning algorithms for data analysis
  • Deep learning applications in data science
  • Natural language processing in machine learning
  • Data preprocessing techniques for model training
  • Model evaluation and validation methods
  • Transfer learning in machine learning applications
  • Reinforcement learning for decision making
  • Data augmentation techniques for training models
  • Explainable AI in machine learning
  • Big data challenges in machine learning
  • Machine learning for time series forecasting
  • Ethical considerations in machine learning
  • Data science education for machine learning practitioners
  • Collaborative filtering techniques in recommendation systems
  • Neural networks for complex data problems
  • Machine learning in healthcare applications
  • Data-driven approaches to feature selection
  • Future trends in machine learning technologies
  • Machine learning for image and video analysis
  • Applications of machine learning in finance

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.