International Conference on Statistical Techniques for Machine Learning and AI ICSTMMLA

Call For Papers

The ICSTMMLA 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 algorithms for statistical analysis

Statistical techniques in AI model evaluation

Feature selection methods in machine learning

Statistical learning theory applications

Data preprocessing for machine learning models

Ensemble methods in statistical learning

Deep learning and statistical inference

Bayesian statistics in AI applications

Statistical methods for big data analytics

Interpretability of machine learning models

Statistical challenges in AI deployment

Reinforcement learning and statistical methods

Statistical evaluation of AI systems

Transfer learning in statistical contexts

Statistical methods for time series analysis

Unsupervised learning and statistical techniques

Statistical issues in data privacy

Statistical frameworks for AI ethics

Applications of statistics in natural language processing

Statistical modeling of complex systems

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