Book Content
chapters • 17h44m total length
1. Getting Up and Running with Spark
2. Maths for Machine Learning
3. Designing a Machine Learning System
4. Obtaining, Processing, and Preparing Data with Spark
5. Building a Recommendation Engine with Spark
6. Building a Classification Model with Spark
7. Building a Regression Model with Spark
8. Building a Clustering Model with Spark
9. Dimensionality Reduction with Spark
10. Advanced Text Processing with Spark
11. Real-time Machine Learning with Spark Streaming
12. Pipeline APIs for Spark ML
