Mastering Scala Machine Learning [Paperback]

Advance your skills in efficient data analysis and data processing using the powerful tools of Scala, Spark, and Hadoop

About This Book

• This is a primer on functional-programming-style techniques to help you efficiently process and analyze all of your data
• Get acquainted with the best and newest tools available such as Scala, Spark, Parquet and MLlib for machine learning
• Learn the best practices to incorporate new Big Data machine learning in your data-driven enterprise to gain future scalability and maintainability

Who This Book Is For

Mastering Scala Machine Learning is intended for enthusiasts who want to plunge into the new pool of emerging techniques for machine learning. Some familiarity with standard statistical techniques is required.

What You Will Learn

• Sharpen your functional programming skills in Scala using REPL
• Apply standard and advanced machine learning techniques using Scala
• Get acquainted with Big Data technologies and grasp why we need a functional approach to Big Data
• Discover new data structures, algorithms, approaches, and habits that will allow you to work effectively with large amounts of data
• Understand the principles of supervised and unsupervised learning in machine learning
• Work with unstructured data and serialize it using Kryo, Protobuf, Avro, and AvroParquet
• Construct reliable and robust data pipelines and manage data in a data-driven enterprise
• Implement scalable model monitoring and alerts with Scala

In Detail

Since the advent of object-oriented programming, new technologies related to Big Data are constantly popping up on the market. One such technology is Scala, which is considered to be a successor to Java in the area of Big Data by many, like Java was to C/C++ in the area of distributed programing.

This book aims to take your knowledge to next level and help you imparl“+