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International Conference on Machine Learning Models for Data Analytics (ICMLMDA - 26)

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Conference Overview

Join us at the highly anticipated International Conference on Machine Learning Models for Data Analytics (ICMLMDA - 26), taking place in Mopti, Mali on 28th - 29th August 2026 . Hosted by one of the most trusted organizations, APSTE, the conference provides a premier global platform for exchanging ideas and insights on the latest developments across various fields. Our goal is to offer a competitive venue for industry professionals and academic researchers to showcase and discuss cutting-edge advancements in their respective fields.

The primary objective of this conference is to provide attendees with a unique opportunity to share their experiences, knowledge, and ideas on a global stage. The program features a blend of industry presentations, expert panels, and international keynote speakers View more

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Conference Theme and Objective

The theme and objective of the conference is centered around addressing the key challenges faced by various industries, including engineering, medicine, social science, applied science, management, and others. The aim is to bring together organizations and professionals from these fields to identify bottlenecks and collaborate on finding solutions.

Our events revolve around this theme, with a focus on disseminating knowledge from international studies and research. The conference is designed to help attendees not only achieve these goals but also reach their personal and professional objectives. The attendees will work together towards a common purpose, with a focus on the diffusion of knowledge and finding solutions to the challenges faced by their respective industries.

About APSTE

APSTE is a renowned non-profit professional platform dedicated to providing accurate and verified information on international events. Our goal is to enrich the knowledge and insights of professionals and researchers through our intellectually stimulating events.

At the same time, we aim to drive the development of industries such as engineering, medicine, social science, applied science, management, and others. View more

Important Dates

Early Bird Registration :29th July 2026

Paper Submission Deadline :8th August 2026

Last Date of Registration : 13th August 2026

Date of Conference : 28th - 29th August 2026

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Conference Session Tracks

This ICMLMDA includes a diverse set of session tracks addressing key research areas and evolving trends within Data Analytics.

It provides a collaborative platform for researchers and professionals to share insights and advancements. Each session is structured to support innovation, knowledge exchange, and meaningful discussions.

The conference promotes sustainable development and ethical research aligned with global standards.

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Aligned SDGs

  • SDG 4 SDG 4 – Quality Education
  • SDG 8 SDG 8 – Decent Work and Economic Growth
  • SDG 9 SDG 9 – Industry, Innovation and Infrastructure
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Advancements in Machine Learning for Predictive Modeling

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Neural Networks and Deep Learning Applications

03

Feature Engineering for Enhanced Data Insights

04

Decision Support Systems Powered by AI

05

Big Data Analytics in Business Intelligence

Insights into how the session tracks are aligned with the Sustainable Development Goals are available on the Session Tracks page.

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Speakers Our Past Events

Wafaa Iazza
Wafaa Iazza

Supply Chain & Logistics Professional, ENCG El Jadida

Meryem Gurel
Meryem Gurel

Member, International Sustainable Development Resources Centre

Victoria Holtz
Victoria Holtz

CEO, Massachusetts Institute of Technology

Past Conferences: A Retrospective

Premier Awards

ICECSI-26 March 11, 2026 | Hamburg, Germany
Ebru Idman
Istanbul Aydin University

Open-Access SDG Indicators for Energy Conservation: A Python-Based Machine Learning Framework for Data-Driven Sustainable Innovation

ICIDEF-26 March 4, 2026 | Manila, Philippines
Richard R. Day
Auburn University Montgomery

Building and Sustaining the Davao Innovation Ecosystem

ICBEAMP-26 March 3, 2026 | Rotterdam, Netherlands
Yousry Ahmed
Kuwait University

When Politics Costs Profits: Firm-Level Political Risk and Firm Performance in the U.S.

ICDMMES-26 January 28, 2026 | Ho Chi Minh City, Vietnam
Kim Yujin
Kangnam University

Design of an Adaptive Learning Analytics Framework through Standardization of Learner Behavior Patterns in Metaverse-Based Learning Environments

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Universities Whose Experts Have Shared Their Research

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Supporting Academic Continuity

APSTE ensures that research and publication processes continue without interruption in the current global situation. Participants can present their work through digital and integrated formats.

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