beginnerCertificate$49/mo
Machine Learning Specialization
by Andrew Ng · Coursera
4.9(45,000 reviews)
1M+ enrolled3 monthsUpdated 2024-08
What You'll Learn
Understand the fundamentals and key concepts of regression
Apply regression techniques to solve real-world problems
Understand the fundamentals and key concepts of classification
Apply classification techniques to solve real-world problems
Understand the fundamentals and key concepts of neural networks
Apply neural networks techniques to solve real-world problems
About This Course
Three-course specialization covering regression, classification, recommender systems, and reinforcement learning with NumPy and TensorFlow.
Curriculum
Module 1: Regression & Classification6 lessons
- Introduction to regression
- Regression in Practice
- Hands-on Exercise: Regression
- Introduction to classification
- Classification in Practice
- Hands-on Exercise: Classification
Module 2: Neural networks & Decision trees6 lessons
- Introduction to neural networks
- Neural networks in Practice
- Hands-on Exercise: Neural networks
- Introduction to decision trees
- Decision trees in Practice
- Hands-on Exercise: Decision trees
Module 3: Recommender systems3 lessons
- Introduction to recommender systems
- Recommender systems in Practice
- Hands-on Exercise: Recommender systems
Instructor
Andrew Ng
Instructor at Coursera
Pros & Cons
Pros
- Highly rated by students
- Offers a certificate of completion
- High-quality video lectures
- Taught by Andrew Ng
Cons
- Requires paid subscription
- May be too basic for experienced practitioners
- Self-paced requires discipline
$49/mo
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