International Conference on Machine Learning and Statistical Computing - (ICMLSC-26)


4th - 5th November, 2026 | Vaitele, Samoa

Multi-format (In-person/Virtual)

Registration Options

Explore conference registration categories designed for every mode of participation.

Important Dates

Pre-registration Deadline

5th October, 2026

Paper Submission Deadline

10th October, 2026

Last Date Of Registration

20th October, 2026

Date Of Conference

4th - 5th November, 2026

Downloads

Call for Papers

The (ICMLSC-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 Statistics,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 techniques in statistics
  • Statistical computing for big data analysis
  • Applications of machine learning in research
  • Statistical methods for model evaluation
  • Machine learning for predictive modeling
  • Data visualization techniques in machine learning
  • Statistical challenges in machine learning
  • Machine learning for time series forecasting
  • Robustness in machine learning models
  • Applications of machine learning in finance
  • Statistical methods for feature selection
  • Machine learning in social sciences research
  • Deep learning and statistical methods
  • Ethics in machine learning applications
  • Machine learning for healthcare analytics
  • Statistical computing for high-dimensional data
  • Future trends in machine learning and statistics
  • Integrating machine learning with statistical theory
  • Statistical methods for ensemble learning
  • Machine learning for causal inference

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.