Book Content
chapters • 8h24m total length
1. Spark for Machine Learning
2. Data Preparation for ML on Spark
3. Holistic View on Spark
4. Rapid Fraud Detection on Spark
5. Risk Scoring on Spark
6. Scalable Churn Prediction on Spark
7. Parallel Computing for Recommendation on Spark
8. Learning Analytics on Spark
9. City Analytics on Spark
10. Learning Telco Data on Spark
11. Modeling Open Data on Spark
