Mastering Scala Machine Learning

Table of Contents

1. Exploratory Data Analysis
2. Data Pipelines and Modeling
3. Working with Spark and MLlib
4. Supervised and Unsupervised Learning
5. Regression and Classification
6. Working with Unstructured Data
7. Working with Graph Algorithms
8. Integrating Scala with R and Python
9. NLP in Scala
10. Advanced Model Monitoring