[RCAC Workshop] ML Fundamentals I: Supervised Learning
📅 Date: Friday, September 26, 2025
⏰ Time: 1:00 PM EDT
💻 Location: Online
🏫 Instructor: Haniye Kashgarani
Who Should Attend
Researchers, analysts, engineers, and students with basic programming or data science experience who want to build a solid foundation in machine learning. This session is ideal for anyone working with real-world datasets who wants to understand how supervised learning methods can be applied effectively in research, industry, or education.
What You'll Learn
This training introduces the fundamentals of supervised learning, the most widely used approach in modern machine learning. You'll learn how labeled data is used to train predictive models, explore the differences between regression and classification tasks, and understand how to split data into training, validation, and test sets. Core concepts like model evaluation, overfitting vs. underfitting, and performance metrics (e.g., accuracy, precision/recall, RMSE) will be explained in clear and practical terms.
Level
Beginner to intermediate
🔗 Register now: Registration Link