ᴄɪᴠɪʟ ᴇɴɢɪɴᴇᴇʀɪɴɢ ᴀᴄᴀᴅᴇᴍɪᴄs & ʀᴇsᴇᴀʀᴄʜ

*Greetings from Manuscriptpedia!* An ISO 9001:2015 Certified Research and Training Organization (Registered Research Training Firm) 🎓 International Professional Development Program on *“Machine Learning in Research: From Modeling to Publication”* *# Bring Your Data, Leave with Insights  | ML 1.0* # 📅 *Date:* September 21st – 25th, 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 public

CALL FOR PAPERS | ISCI 2026 🇮🇳 🇯🇵 3rd International Symposium on Collaborative Informatics (ISCI 2026) 📅 30 November & 1 December 2026 | Presidency University, Bengaluru Jointly organized by UVCE & Presidency University, in association with Kagoshima University & Kurume Institute of Technology, Japan. ⏳ Abstract Deadline: 15 October 2026 📖 Selected high-quality papers will be considered for publication in a Scopus-indexed peer-reviewed academic book series or edited academic book with an ISBN, subject to peer review and publisher acceptance. 🌐 https://presidencyuniversity.in/events/isci-2026 📝 Submit Abstract: https://forms.gle/Wyk1NFidwnnnSoJN8 Faculty, research scholars & students are invited to contribute. Please share with interested colleagues and researchers.