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Call For Papers

The ICMLSC 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 Statistics,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:

01
Machine learning techniques in statistics
02
Statistical computing for big data analysis
03
Applications of machine learning in research
04
Statistical methods for model evaluation
05
Machine learning for predictive modeling
06
Data visualization techniques in machine learning
07
Statistical challenges in machine learning
08
Machine learning for time series forecasting
09
Robustness in machine learning models
10
Applications of machine learning in finance
11
Statistical methods for feature selection
12
Machine learning in social sciences research
13
Deep learning and statistical methods
14
Ethics in machine learning applications
15
Machine learning for healthcare analytics
16
Statistical computing for high-dimensional data
17
Future trends in machine learning and statistics
18
Integrating machine learning with statistical theory
19
Statistical methods for ensemble learning
20
Machine learning for causal inference

Assessment

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.

Start Your Research Journey Here Get Started with Registration