Unit Overview

Unit 2: Machine Learning Basics

Unit 2: Machine Learning Basics overview, goals, and key takeaways.

Unit 2: Machine Learning Basics

5 hours · 5 lessons

Unit Objectives

  • Define machine learning and explain how it differs from traditional programming.
  • Identify and explain the three main types of machine learning.
  • Understand training data, testing data, and model accuracy.
  • Build simple machine learning models using accessible tools.
  • Explain how algorithms learn from data.
  • Recognize why data quality matters in machine learning.

Unit Overview

Students dive into the core ideas behind machine learning, exploring how computers learn from data and practicing with approachable, hands-on tools. The emphasis is on conceptual understanding through experimentation rather than complex mathematics.

Lessons in this Unit

  1. Lesson 1: What is Machine Learning?
  2. Lesson 2: Supervised Learning
  3. Lesson 3: Unsupervised Learning
  4. Lesson 4: Reinforcement Learning
  5. Lesson 5: Training, Testing, and Model Evaluation