Скачать или смотреть Building a Machine Learning Model | Process, Inference & Learnings from Duke AI Product Management

Welcome to AIwithMC — I’m Mohanraj Chinnapaiyan, a Senior Technical Program Manager with 20 years of experience delivering complex global programs in Infrastructure, End User compute, Cloud, and Digital Transformation.

As part of my journey to deepen expertise in Artificial Intelligence, I’m currently pursuing:
🎓 AI Product Management – Duke University
🎓 Applied Agentic AI for Organizational Transformation – MIT Professional Education
🎓 Generative AI with Large Language Models – DeepLearning.AI & AWS

This video is part of my Duke University AI Product Management course project, Machine Learning Foundations for Product Managers. It demonstrates my hands-on experience in the process of building and interpreting a Machine Learning model.

In this 5-minute walkthrough, I share:
🧩 The modeling approach – defining the problem, features, and algorithm choices
⚙️ Model building – comparing models and using cross-validation
📊 Model evaluation – selecting metrics and interpreting results
💡 Inference – drawing insights from model performance and outcomes

This project reflects how AI Product Managers and Technology Leaders can bridge business strategy and data-driven decision-making through applied machine learning.

If you’re an AI learner, PM, or tech leader interested in translating AI into impact — you’re in the right place.

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