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Các bạn chọn 1 trong các chủ đề sau
| Chapter | Title | Case study |
|---|---|---|
| 5 | Regression Analysis | Need a ride? Predicting prices that customers are willing to pay for ridesharing services |
| 6 | Neural Networks | Airline Industry: Understanding customer satisfaction |
| 7 | Automated Machine Learning | Loan data: Understanding when and how to support fiscal reponsibility in customers |
| 8 | Cluster Analysis | Online perfume and cosmetic sales Understanding customer segmentation through cluster analysis |
| 9 | Market Basket Analitics | Online department store: Understanding computer purchase patterns |
| 10 | Natual Language Processing | Specialty Food online review: Understanding customer sentiments |
| 11 | Social Network Analysis | Auto Industry: Understanding network Infuencers |
| 12 | Fundamentals of Digital Marketing Analytics | E-Commerce: The Google Online Merchandise Store |
Link download ebook: Essentials of Marketing Analitics
| Chapter | Title |
|---|---|
| 6 | The user (and content) who came in from the cold |
| 7 | Finding similarities among users and among content |
| 8+9 | Collaborative filtering in the neighborhood and validation |
| 10 | Content-based filtering |
| 11 | Finding hidden genres with matrix factorization |
| 13 | Ranking and learning to rank |
Link download: Practical Recommender Systems
| Chapter | Title |
|---|---|
| 3 | The simple recommender |
| 4 | Building Content-Based Recommenders |
| 5 | Getting Started with Data Mining Techniques |
| 6 | Building Collaborative Filters |
| 7 | Hybrid Recommenders |
Link download: Hands On Recommendation System With Python