Building Recommender Systems with Machine Learning and AI
Heads up! This course may be archived and/or unavailable.
Automated recommendations are everywhere: Netflix, Amazon, YouTube, and more. Recommender systems learn about your unique interests and show the products or content they think you’ll like best. Discover how to build your own recommender systems from one of the pioneers in the field. Frank Kane spent over nine years at Amazon, where he led the development of many of the company’s personalized product recommendation technologies. In this course, he covers recommendation algorithms based on neighborhood-based collaborative filtering and more modern techniques, including matrix factorization and even deep learning with artificial neural networks. Along the way, you can learn from Frank's extensive industry experience and understand the real-world challenges of applying these algorithms at a large scale with real-world data. You can also go hands-on, developing your own framework to test algorithms and building your own neural networks using technologies like Amazon DSSTNE, AWS SageMaker, and TensorFlow.
Contents:
- 1. Getting Started
- 2. Introduction to Python
- 3. Evaluating Recommender Systems
- 4. A Recommender Engine Framework
- 5. Content-Based Filtering
- 6. Neighborhood-Based Collaborative Filtering
- 7. Matrix Factorization Methods
- 8. Introduction to Deep Learning
- 9. Deep Learning for Recommender Systems
- 10. Scaling It Up
- 11. Real-World Challenges of Recommender Systems
- 12. Case Studies
- 13. Hybrid Approaches
- Conclusion
Get a Reminder
Rating | Not enough ratings |
---|---|
Length | 9h 5m |
Starts | On Demand (Start anytime) |
Cost | $29/month (Access to entire library- free trial available) |
From | LinkedIn Learning |
Instructor | Frank Kane |
Download Videos | Only via the LinkedIn Learning mobile app |
Language | English |
Subjects | Programming Data Science |
Tags | Machine Learning Artificial Intelligence (AI) Recommender Systems |
Get a Reminder
Similar Courses
Careers
An overview of related careers and their average salaries in the US. Bars indicate income percentile.
Senior Project Manager - Construction/Material Handling Systems $72k
Associate Advisory Systems Engineer $73k
Systems Programmer/Administrator 1 $90k
Senior IMLP Systems Analyst $114k
Senior Systems Engineer - Genetic Analysis $115k
Senior Business Systems Analyst - SAP Retail $118k
Senior Systems Engineer - Cloud Operations Consultant $122k
Senior Systems Analyst/Developer 2 $126k
Manager of Reporting and Systems - Product Development $127k
Project Manager, Systems Design & Development $132k
Account Executive, Financial Systems Manager $140k
Senior Systems Business Analyst Consultant $163k
Write a review
Your opinion matters. Tell us what you think.
Please login to leave a review
Rating | Not enough ratings |
---|---|
Length | 9h 5m |
Starts | On Demand (Start anytime) |
Cost | $29/month (Access to entire library- free trial available) |
From | LinkedIn Learning |
Instructor | Frank Kane |
Download Videos | Only via the LinkedIn Learning mobile app |
Language | English |
Subjects | Programming Data Science |
Tags | Machine Learning Artificial Intelligence (AI) Recommender Systems |
Similar Courses
Sorted by relevance
Like this course?
Here's what to do next:
- Save this course for later
- Get more details from the course provider
- Enroll in this course