intermediateFree
Machine Learning
by Andrew Ng · Stanford Online
4.9(5,200 reviews)
500K+ enrolled11 weeksUpdated 2024-09
What You'll Learn
Understand the fundamentals and key concepts of supervised learning
Apply supervised learning techniques to solve real-world problems
Understand the fundamentals and key concepts of unsupervised learning
Apply unsupervised learning techniques to solve real-world problems
Understand the fundamentals and key concepts of deep learning
Apply deep learning techniques to solve real-world problems
About This Course
Stanford's foundational machine learning course covering supervised learning, unsupervised learning, and best practices in ML.
Curriculum
Module 1: Supervised learning3 lessons
- Introduction to supervised learning
- Supervised learning in Practice
- Hands-on Exercise: Supervised learning
Module 2: Unsupervised learning3 lessons
- Introduction to unsupervised learning
- Unsupervised learning in Practice
- Hands-on Exercise: Unsupervised learning
Module 3: Deep learning3 lessons
- Introduction to deep learning
- Deep learning in Practice
- Hands-on Exercise: Deep learning
Module 4: Reinforcement learning3 lessons
- Introduction to reinforcement learning
- Reinforcement learning in Practice
- Hands-on Exercise: Reinforcement learning
Instructor
Andrew Ng
Instructor at Stanford Online
Pros & Cons
Pros
- Highly rated by students
- Completely free to access
- High-quality video lectures
- Taught by Andrew Ng
Cons
- No certificate provided
- Self-paced requires discipline
Free
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