If you enjoyed this book, you may be interested in these other books by Packt:

Scala for Machine Learning, Second Edition
Patrick R. Nicolas

ISBN: 978-1-78712-238-3

• Build dynamic workflows for scientific computing
• Leverage open source libraries to extract patterns from time series
• Write your own classification, clustering, or evolutionary algorithm
• Perform relative performance tuning and evaluation of Spark
• Master probabilistic models for sequential data
• Experiment with advanced techniques such as regularization and kernelization
• Dive into neural networks and some deep learning architecture
• Apply some basic multiarm-bandit algorithms
• Solve big data problems with Scala parallel collections, Akka actors, and Apache Spark clusters
• Apply key learning strategies to a technical analysis of financial markets

Mastering Scala Machine Learning
Alex Kozlov

ISBN: 978-1-78588-088-9

• 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