International Conference on Machine Learning and Statistical Computing (ICMLSC-27)

Conference Session Tracks

Aligned with

UN SUSTAINABLE DEVELOPMENT GOALS

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals.

SDG 4 Quality Education

SDG 8 Decent Work and Economic Growth

SDG 9 Industry, Innovation and Infrastructure

TRACK 01

Advancements in Machine Learning Algorithms

This track focuses on the latest developments in machine learning algorithms, emphasizing their theoretical foundations ...

TRACK 02

Statistical Methods for Data Science

This session will explore innovative statistical techniques that are pivotal in the field of data science. Contributions...

TRACK 03

Optimization Techniques in Statistical Computing

This track will delve into optimization methods used in statistical computing, including both classical and contemporary...

TRACK 04

Predictive Modeling in Big Data

This session aims to discuss the role of predictive modeling in extracting insights from large datasets. Participants ar...

TRACK 05

Neural Networks and Deep Learning Applications

This track will cover the application of neural networks and deep learning techniques in statistical computing. Submissi...

TRACK 06

Simulation Techniques in Statistical Analysis

This session will highlight the use of simulation methods in statistical analysis, including Monte Carlo and bootstrappi...

TRACK 07

Classification and Clustering Methods

This track will examine various classification and clustering techniques, focusing on their theoretical underpinnings an...

TRACK 08

Applied Statistics in Industry

This session will showcase applications of statistical methods in industry settings, emphasizing real-world problem-solv...

TRACK 09

Forecasting Techniques in Time Series Analysis

This track will explore advanced forecasting methods in time series analysis, including both traditional and machine lea...

TRACK 10

Quantitative Analysis in Social Sciences

This session will focus on the application of quantitative analysis techniques in social science research. Contributions...

TRACK 11

Computational Methods for Statistical Inference

This track will address computational techniques used for statistical inference, including Bayesian methods and resampli...

Hybrid Event