Scala for Machine Learning

Key Features

Book Description

What you will learn

• 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
• 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

Who this book is for