International Conference on Machine Learning and Statistical Computing ICMLSC

Call For Papers

The ICMLSC bridges the gap between academia and industry by promoting research with practical applications. It provides a platform for professionals and researchers to share insights that drive real-world impact.

The conference focuses on Statistics, Data Science , encouraging applied research, case studies, and industry-driven innovations.

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

Submissions will be evaluated based on applicability, innovation, and research contribution. Accepted papers will be presented and considered for publication in reputed journals and conference proceedings.

Registration

Complete your registration to participate in discussions that bridge academia and industry, and gain exposure to practical insights.

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Publication

Selected papers will be considered for publication platforms that support academic and industry collaboration.

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Hybrid Event