Help people discover new products and content with deep learning, neural networks, and machine learning recommendations.
Master key concepts and practical skills through structured learning modules. By completing this curriculum, you'll gain valuable expertise applicable to real-world scenarios.
Understand and apply user-based and item-based collaborative filtering to recommend items to users
Create recommendations using deep learning at massive scale
Build recommender systems with neural networks and Restricted Boltzmann Machines (RBM's)
Make session-based recommendations with recurrent neural networks and Gated Recurrent Units (GRU)
Build a framework for testing and evaluating recommendation algorithms with Python
This comprehensive Building Recommender Systems with Machine Learning and AI curriculum is designed to take you from foundational concepts to advanced implementation. Each module builds upon the previous, ensuring a structured learning path that maximizes knowledge retention and practical application.
Understand what you need to succeed in this course and determine if it's the right fit for your learning goals
What you need before starting this Building Recommender Systems with Machine Learning and AI course:
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Everything you need to know about this online course, from duration to certification
Course Instructor
Sundog Education by Frank Kane
Expert instructor with industry experience
Course Language
English
All materials in English
This online course offers comprehensive training with expert instruction, practical exercises, and a certificate of completion. Join thousands of students advancing their careers through quality online education.
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