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EduInt AI School
Machine Learning: The Foundation of Modern AI
Machine learning is the driving force behind modern AI. This course breaks down the three pillars of ML — supervised, unsupervised, and reinforcement learning — with clear explanations and real-world applications. You'll understand features, labels, algorithms, and see how statistics powers everything from spam filters to self-driving cars.
Beginner 1h 34m 9 lessons 12 videos 2 quizzes
DA
Dr. Aminul Islam
AI Researcher, EduInt BD
FREE
100% Free Course
9 Lessons
1h 34m
Beginner
Certificate
Open to All
What You'll Learn
Understand the relationship between AI, ML, and statistics
Master key concepts: features, labels, algorithms, and model evaluation
Differentiate supervised, unsupervised, and reinforcement learning
Understand regression, classification, clustering, and reinforcement learning
Apply ML concepts to real-world problems like fraud detection and recommendations
Course Curriculum
9 lessons · 1h 34m
1
Introduction
Video4 min
2
It's Just Math: ML and Statistics
Video10 min
3
Key Concepts: Features, Labels, Algorithms
Video8 min
4
Supervised Learning: Regression & Classification
Video15 min
5
Unsupervised Learning: Clustering & Patterns
Video12 min
6
Reinforcement Learning: AlphaGo and Beyond
Video10 min
7
Real-World ML Applications
Video8 min
8
Hands-On: Simple Linear Regression
Code15 min
9
Quiz: Machine Learning Fundamentals
Quiz12 min
Who Should Join
Beginners who want to understand how machines learn from data. Ideal for students, analysts, and anyone preparing for an AI career.
Prerequisites
- Basic math (high school level)
- Completed 'What is AI?' or equivalent knowledge
Course Details
Videos12
Code Examples3
Quizzes2
LevelBeginner
Duration1h 34m
4.8(120+ ratings)
Student ratings
Ready to start learning?
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