Machine Learning Fundamentals: Regression, Classification and Beyond

This session on Machine Learning Fundamentals is designed to give you a clear and practical understanding of how ML works in the real world — not just theory, but how systems actually learn and make decisions.

What you’ll learn:

• Core concepts of Machine Learning explained from the ground up

• How models like Linear Regression, Logistic Regression, and basic Neural Networks work

• The intuition behind Gradient Descent and model training

• Difference between Machine Learning, AI, and Deep Learning

• How ML is used in real-world applications (recommendations, spam filters, etc.)

• A clear roadmap to start learning ML, build projects, and land internships

Who this is for:

• Beginners curious about Machine Learning and AI

• Students looking to start their ML journey

• Anyone confused about where to begin or what to learn next

• Individuals aiming to build projects or pursue internships in ML

About the speaker:

Learn from someone with real industry and research experience:

• ML Intern at ICICI

• Experience in Reinforcement Learning and Machine Learning research

• Placed at American Express

• Incoming student at UC San Diego

This session is perfect if you want clarity, direction, and a strong foundation to confidently start your journey in Machine Learning. 🚀

Event Details

• 🎓 Certificates Provided