Machine Learning and AI Foundations
Recommendations
Become a Machine Learning Specialist,
This project-based course shows programmers of all skill levels how to use machine learning to build programs that can make recommendations. In this course, Adam Geitgey walks you through a hands-on lab building a recommendation system that is able to suggest similar products to customers based on past products they have reviewed or purchased. The system can also identify which products are similar to each other.
Contents:
- Introduction
- 1. The Basics of Making Recommendations
- 2. Ways of Making Recommendations
- 3. Getting to Know Our Tools
- 4. Building the Framework for Our Recommendation System
- 5. Collaborative Filtering with Matrix Factorization
- 6. Testing Our System
- 7. Using the Recommendation System in a Real World Program
- Conclusion
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| Rating | Not enough ratings |
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| Length | 58m |
| Starts | On Demand (Start anytime) |
| Cost | $29/month (Access to entire library- free trial available) |
| From | LinkedIn Learning |
| Instructor | Adam Geitgey |
| Download Videos | Only via the LinkedIn Learning mobile app |
| Language | English |
| Subjects | Programming Data Science |
| Tags | Machine Learning Python (Programming Language) |
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| Rating | Not enough ratings |
|---|---|
| Length | 58m |
| Starts | On Demand (Start anytime) |
| Cost | $29/month (Access to entire library- free trial available) |
| From | LinkedIn Learning |
| Instructor | Adam Geitgey |
| Download Videos | Only via the LinkedIn Learning mobile app |
| Language | English |
| Subjects | Programming Data Science |
| Tags | Machine Learning Python (Programming Language) |
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