Mastering Machine Learning With Spark
by Alex Tellez /
2017 / English / Kindle
9.8 MB Download
Unlock the complexities of machine learning algorithms in Spark to generate useful data insights through this data analysis tutorial
About This Book
Process and analyze big data in a distributed and scalable way
Write sophisticated Spark pipelines that incorporate elaborate extraction
Build and use regression models to predict flight delays
Who This Book Is For
Are you a developer with a background in machine learning and statistics who is feeling limited by the current slow and “small data” machine learning tools? Then this is the book for you! In this book, you will create scalable machine learning applications to power a modern data-driven business using Spark. We assume that you already know the machine learning concepts and algorithms and have Spark up and running (whether on a cluster or locally) and have a basic knowledge of the various libraries contained in Spark.
What You Will Learn
Use Spark streams to cluster tweets online
Run the PageRank algorithm to compute user influence
Perform complex manipulation of DataFrames using Spark
Define Spark pipelines to compose individual data transformations
Utilize generated models for off-line/on-line prediction
Transfer the learning from an ensemble to a simpler Neural Network
Understand basic graph properties and important graph operations
Use GraphFrames, an extension of DataFrames to graphs, to study graphs using an elegant query language
Use K-means algorithm to cluster movie reviews dataset