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EbookBell Team
4.8
84 reviewsWho this book is for
This book is valuable for data engineers, machine learning engineers, data scientists, data architects, business analysts, and technical consultants worldwide. It would be beneficial to have some familiarity with the fundamentals of Hadoop and Python.
Table of Contents
1. Introduction to Machine Learning
2. Apache Spark Environment Setup and Configuration
3. Apache Spark
4. Apache Spark MLlib
5. Supervised Learning with Spark
6. Un-Supervised Learning with Apache Spark
7. Natural Language Processing with Apache Spark
8. Recommendation Engine with Distributed Framework
9. Deep Learning with Spark
10. Computer Vision with Apache Spark
