Phase 0: ML Foundations · ~45 minutes · Python
What Is Machine Learning
Machine learning is teaching computers to find patterns in data instead of writing rules by hand.
What you will learn
- Explain the difference between supervised, unsupervised, and reinforcement learning and identify which type applies to a given problem
- Implement a nearest centroid classifier from scratch and evaluate it against a random baseline
- Distinguish between classification and regression tasks and select the appropriate loss function for each
- Evaluate whether a given business problem is suitable for ML or better solved with deterministic rules
Introduction
- Type: Learn
- Languages: Python
- Prerequisites: Earlier lessons in this course
- Time: ~45 minutes
Objective
Learning objectives
- Explain the difference between supervised, unsupervised, and reinforcement learning and identify which type applies to a given problem
- Implement a nearest centroid classifier from scratch and evaluate it against a random baseline
- Distinguish between classification and regression tasks and select the appropriate loss function for each
- Evaluate whether a given business problem is suitable for ML or better solved with deterministic rules
Unlock the full lesson
You've read the first 2 sections. The rest of this lesson covers The Problem, The Concept, Build, Check Yourself, Key Terms & Next — plus a hands-on lab, quiz, and project artifact.
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