This book will introduce you to the most popular Scala tools, libraries, and frameworks through practical recipes around loading, manipulating, and preparing your data. It will also help you explore and make sense of your data using stunning and insightfulvisualizations, and machine learning toolkits.

Starting with introductory recipes on utilizing the Breeze and Spark libraries, get to grips withhow to import data from a host of possible sources and how to pre-process numerical, string, and date data. Next, you’ll get an understanding of concepts that will help you visualize data using the Apache Zeppelin and Bokeh bindings in Scala, enabling exploratory data analysis. iscover how to program quintessential machine learning algorithms using Spark ML library. Work through steps to scale your machine learning models and deploy them into a standalone cluster, EC2, YARN, and Mesos. Finally dip into the powerful options presented by Spark Streaming, and machine learning for streaming data, as well as utilizing Spark GraphX.

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Spis treści

Scala Data Analysis Cookbook. Navigate the world of data analysis, visualization, and machine learning with over 100 hands-on Scala recipes eBook -- spis treści

• 1. Getting started with Breeze.
• 2. Getting Started with Apache Spark Dataframes
• 3. Data Loading and Preparing Data - DataFrame
• 4. Visualization
• 5. Learning from Data
• 6. Scaling up
• 7. Going further