About this Course

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Beginner Level

We recommend completing Supervised Learning: Regression and Classification and Advanced Learning Algorithms - in the Machine Learning Specialization.

Approx. 26 hours to complete
English

What you will learn

  • 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

Skills you will gain

  • Collaborative Filtering
  • Unsupervised Learning
  • Recommender Systems
  • Reinforcement Learning
  • Anomaly Detection
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Beginner Level

We recommend completing Supervised Learning: Regression and Classification and Advanced Learning Algorithms - in the Machine Learning Specialization.

Approx. 26 hours to complete
English

Offered by

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DeepLearning.AI

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Stanford University

Syllabus - What you will learn from this course

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Week
1
Week 1
9 hours to complete

Unsupervised learning

9 hours to complete
13 videos (Total 120 min)
Week
2
Week 2
9 hours to complete

Recommender systems

9 hours to complete
12 videos (Total 109 min)
Week
3
Week 3
8 hours to complete

Reinforcement learning

8 hours to complete
17 videos (Total 130 min), 1 reading, 4 quizzes

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About the Machine Learning Specialization

Machine Learning

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