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Unsupervised Learning, Recommenders, Reinforcement Learning
DeepLearning.AI and Stanford University via Coursera
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Overview
In the third course of the Machine Learning Specialization, you will: Use unsupervised learning techniques for unsupervised learning: including clustering and anomaly detection. Build recommender systems with a collaborative filtering approach and a content-based deep learning method. Build a deep reinforcement learning model. The Machine Learning Specialization is a foundational online program created in collaboration between DeepLearning.AI and Stanford Online. In this beginner-friendly program, you will learn the fundamentals of machine learning and how to use these...
Syllabus
- Unsupervised learning
- This week, you will learn two key unsupervised learning algorithms: clustering and anomaly detection
- Recommender systems
- Reinforcement learning
- This week, you will learn about reinforcement learning, and build a deep Q-learning neural network in order to land a virtual lunar lander on Mars!
DeepLearning.AI and Stanford University via Coursera
3 hours 51 minutes
Paid Certificate Available
English
On-Demand
Beginner
Instructor
Andrew Ng
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