Apache Spark Machine Learning Blueprints

Develop a range of cutting-edge machine learning projects with Apache Spark using this actionable guide

Key Features

• Customize Apache Spark and R to fit your analytical needs in customer research, fraud detection, risk analytics, and recommendation engine development
• Develop a set of practical Machine Learning applications that can be implemented in real-life projects
• A comprehensive, project-based guide to improve and refine your predictive models for practical implementation

Book Description

What you will learn

• Set up Apache Spark for machine learning and discover its impressive processing power
• Combine Spark and R to unlock detailed business insights essential for decision making
• Build machine learning systems with Spark that can detect fraud and analyze financial risks
• Build predictive models focusing on customer scoring and service ranking
• Build a recommendation systems using SPSS on Apache
• Spark
• Tackle parallel computing and find out how it can support your machine learning projects
• Turn open data and communication data into actionable insights by making use of various forms of machine learning

Who this book is for

If you are a data scientist, a data analyst, or an R and SPSS user with a good understanding of machine learning concepts, algorithms, and techniques, then this is the book for you. Some basic understanding of Spark and its core elements and application is required.