Course at a Glance
The gold standard machine learning course. Learn supervised learning, unsupervised learning, and best practices from Stanford professor Andrew Ng. Includes Python and TensorFlow.
4.9/5
Rating
3 months
Duration
Intermediate
Level
$49/month (Coursera Plus)
Price
Andrew Ng
Coursera / Stanford
Our Verdict
The Machine Learning Specialization is the best structured ML education available online. Andrew Ng's teaching style makes complex mathematics accessible, and the Python/TensorFlow projects give you real, portfolio-worthy experience. If you're serious about a career in AI/ML, this specialization is non-negotiable. The Coursera Plus subscription makes it excellent value.
Score Breakdown
Andrew Ng's Machine Learning Specialization is the most taken ML course in history, with over 4 million enrollments. Updated in 2022 and continuously refined, it's the gold standard for learning machine learning from scratch. We completed all three courses in the specialization to give you a thorough, honest review.
Pros & Cons
Pros
- Stanford-quality education
- Hands-on Python projects
- Industry-recognized certificate
- Comprehensive curriculum
- Active community
Cons
- Requires math background
- Time-intensive
- Subscription model
Enroll in Machine Learning Specialization
$49/month (Coursera Plus) · 3 months · Intermediate
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What the ML Specialization Covers
The specialization consists of three courses: Supervised Machine Learning, Advanced Learning Algorithms, and Unsupervised Learning & Recommenders & Reinforcement Learning. Together, they cover the full breadth of modern machine learning, from linear regression to neural networks to reinforcement learning.
- Supervised learning: Linear regression, logistic regression, neural networks
- Decision trees, random forests, and gradient boosting
- Unsupervised learning: Clustering, anomaly detection
- Recommender systems: Collaborative and content-based filtering
- Reinforcement learning fundamentals
- Practical ML engineering: Feature engineering, regularization, debugging
- Python, NumPy, and TensorFlow implementation
- Real-world project portfolio
Enroll in ML Specialization on Coursera
Free audit available. Certificate with Coursera Plus ($59/month).
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Pricing & Time Investment
| Option | Price | Access | Certificate |
|---|---|---|---|
| Free Audit | $0 | Video lectures only | No |
| Individual Courses | $49 each | Full access per course | Per course |
| Coursera Plus | $59/month | All 3 courses + 7,000 others | Yes |
| Annual Coursera Plus | $399/year | All courses for a year | Yes |
Note
Time Commitment: The full specialization takes approximately 3 months at 10 hours/week. Dedicated learners have completed it in 6 weeks. Take your time — the concepts build on each other.
Start the ML Specialization — Free Audit Available
4M+ enrollments. 4.9/5 rating. Industry-recognized certificate.
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Course Curriculum
1Course 1: Supervised Machine Learning7 lessons
- Introduction to Machine Learning
- Linear Regression
- Gradient Descent
- Logistic Regression
- Regularization to Avoid Overfitting
- Neural Networks: Intuition
- Neural Network Training
2Course 2: Advanced Learning Algorithms5 lessons
- Neural Networks
- Decision Trees
- Advice for Applying Machine Learning
- Machine Learning Development Process
- Skewed Datasets
3Course 3: Unsupervised Learning4 lessons
- Unsupervised Learning
- Recommender Systems
- Reinforcement Learning
- Final Project
Who Is This Course Best For?
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$49/month (Coursera Plus) · 156,789+ students enrolled
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Frequently Asked Questions
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