*Greetings from Manuscriptpedia!*
An ISO 9001:2015 Certified Research and Training Organization (Registered Research Firm)
🎓 International Professional Development Program on *“Machine Learning in Research: From Modeling to Publication”*
*# Bring Your Data, Leave with Insights | ML 1.0* #
📅 *Date:* March 23rd – 27th, 2026
🕕 *Time:* 6:30 PM – 8:00 PM IST
💻 *Mode:* Online (Google Meet)
📜 *Category:* Professional Development Program (PDP)
*About the PDP*
This 5-day PDP is designed to provide hands-on training in applying machine learning to real-world research problems. Participants will work directly with datasets, learning how to build predictive models, validate results, optimize performance, and interpret outcomes for meaningful insights.
The program emphasizes data-driven approaches and reproducible workflows, equipping researchers from core departments (engineering, energy, materials, healthcare, etc.) with practical skills to integrate ML into their research pipelines.
🧠 *PDP Themes & Schedule*
🔹 *Day 1: Practical Foundations of Machine Learning*
*Introduction to ML workflows with real datasets
*Setting up Python/ML environments (Scikit-learn, TensorFlow, PyTorch)
*Data exploration and preprocessing (hands-on lab)
*🔹 Day 2: Prediction & Model Building*
*Regression and boosting models
*Building predictive models step-by-step
*Hands-on exercises with domain-specific datasets
🔹 *Day 3: Validation & Cross-Validation*
*Train-test split, k-fold cross-validation, and LOOCV
*Avoiding overfitting and bias
*Practical lab: validating models on research datasets
🔹 *Day 4: Optimization & Hyperparameter Tuning*
*Hyper parameter for model optimization
*Performance metrics (validation metrics)
*Hands-on lab: optimizing models for reliability and robustness
🔹 *Day 5: Interpretation & Research Integration*
*Model explainability (SHAP, PDP, feature importance)
*Translating ML outputs into research insights
*Designing reproducible ML workflows for publication and collaboration
*Reflection, peer learning, and roadmap for ML-driven research impact
💡 *Why Join This PDP?*
✅ Hands-on training with real datasets and ML tools
✅ Learn prediction, validation, cross-validation, optimization, and interpretation techniques
✅ Receive a Professional Development Certificate
✅ Build reproducible, data-driven workflows for your research
✅ Network with global researchers applying ML in diverse domains
👨🏫 *Resource Person :* Dr. Krishnamoorthy Ramalingam,
Research Faculty, Universiti Sains Malaysia (USM)
💳 *Registration Details -*
*Registration Fee:* Rs. 590/- only
*Register Now* : https://rzp.io/rzp/AzS1kWY
📧 *For Queries and Bulk Registration* - Email:
[email protected]
/
[email protected]
📞 Call/WhatsApp: +91 9150929629
🌐 Website: http://www.manuscriptpedia.com/research-events
*"Practical ML: No more theory, just your data in action"*
# Limited Seats Only
🏛 *About Manuscriptpedia*
Manuscriptpedia is a global educational and research-focused training firm dedicated to fostering excellence in learning, research, and innovation. Backed by ISO 9001:2015 certification, Manuscriptpedia has supported and mentored thousands of scholars, educators, and researchers through impactful training programs and knowledge-driven initiatives.
