MATLAB BASIC MACHINE LEARNING WORKSHOP

#matlab #riphahuniversity #student #machine-learning #learning
Share

Workshop Report: MATLAB Basic Machine Learning Workshop

Date & Time: March 17, 2025 | 11:00 AM – 12:00 PM
Speaker: Dr. Sana Tameer, Assistant Digital Professor, Riphah University
 

The workshop aimed to provide participants with hands-on experience in data analysis, visualization, and machine learning (ML) applications using MATLAB.

Core Objectives

  • Introduction to MATLAB ML: Familiarizing participants with MATLAB-based machine learning and real-world data visualization.

  • Neural Networks: Explaining the fundamental role of neural networks in solving AI-driven problems.

  • Foundational Concepts: Covering basic machine learning and deep learning principles.

Deep Learning Overview

  • Definition: Deep learning is a subset of ML using multi-layered artificial neural networks inspired by the human brain to solve complex problems.

  • Data Types:

    • Linear Data: Data without interruptions or "breakage"

    • Non-linear Data: Data with irregularities or "breakage"

  • Architectural Categories:

    • Supervised/discriminative deep learning

    • Unsupervised/generative deep learning

    • Hybrid deep architectures

  • Model Types: Recurrent Neural Networks (RNN), Convolutional Neural Networks (CNN), Generative Adversarial Networks (GAN)

  • Applications: Image recognition, healthcare, natural language processing

  • Execution Steps: Dataset preparation, algorithm application, and model evaluation to prevent overfitting

Practical Hands-on Session

  • Implementation: Participants applied ML models directly within MATLAB.

  • Guidance: Dr. Sana provided instructions on dataset manipulation, coding, and model execution.

  • Technical Q&A: Questions about MATLAB’s code compilation and execution methods were addressed.

Conclusion and Feedback

  • Information Value: First-time learners found the workshop highly informative.

  • Skill Development: Participants appreciated MATLAB as a tool to enhance coding skills and understanding of ML concepts.

  • Outcome: Overall feedback from students and IEEE leadership was positive, reflecting a successful hands-on learning experience.


  Date and Time

  Location

  Hosts

  Registration


  • Add_To_Calendar_icon Add Event to Calendar
  • Islamabad, Islamabad Capital Territory
  • Pakistan 44000
  • Contact Event Host

  Speakers

Dr. Sana Tameer

Topic:

MATLAB BASIC MACHINE LEARNING WORKSHOP

 

Speaker Profile

Dr. Sana Tameer is a senior entrepreneur and academic who completed her Ph.D. at a young age. She has published research in deep learning and artificial intelligence and has experience in guiding students and professionals in AI-driven projects. The session began with her sharing her professional journey and achievements.

 

Address:Islamabad , Islamabad Capital Territory, Pakistan, 44000




  Media

Screenshot_2025-12-24_204353 98.38 KiB
Screenshot_2025-12-24_204412 80.81 KiB