Unsupervised Learning, Recommenders, Reinforcement Learning
Learn advanced machine learning techniques including clustering, recommender systems, and reinforcement learning for real-world AI applications.
Course Cost
Free course
Beginner
Skill Level
27 Hours
Self-paced lessons
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Machine Learning Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
What you'll learn
Implement unsupervised learning algorithms
Build collaborative filtering recommender systems
Develop content-based filtering systems
Create deep reinforcement learning models
Apply anomaly detection techniques
Skills you'll gain
This course includes:
7.2 Hours PreRecorded video
8 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate

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There are 3 modules in this course
This comprehensive course, taught by Andrew Ng, explores advanced machine learning concepts beyond supervised learning. Students learn to implement clustering algorithms, build recommender systems using collaborative filtering and content-based approaches, and develop reinforcement learning models. The curriculum includes hands-on projects like anomaly detection systems and a deep Q-learning neural network for lunar landing simulation.
Unsupervised learning
Module 1 · 9 Hours to complete
Recommender systems
Module 2 · 10 Hours to complete
Reinforcement learning
Module 3 · 8 Hours to complete
Fee Structure
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Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
Frequently asked Questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.








