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? ...
Read More
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 In Detail The purpose of machine learning is to build systems that learn from data. Being able to understand trends and patterns in complex data is critical to success; it is one of the key strategies to unlock growth in the challenging contemporary marketplace today. With the meteoric rise of machine learning, developers are now keen on finding out how can they make their Spark applications smarter. This book gives you access to transform data into actionable knowledge. The book commences by defining machine learning primitives by the MLlib and H2O libraries. You will learn how to use Binary classification to detect the Higgs Boson particle in the huge amount of data produced by CERN particle collider and classify daily health activities using ensemble Methods for Multi-Class Classification. Next, you will solve a typical regression problem involving flight delay predictions and write sophisticated Spark pipelines. You will analyze Twitter data with help of the doc2vec algorithm and K-means clustering. Finally, you will build different pattern mining models using MLlib, perform complex manipulation of DataFrames using Spark and Spark SQL, and deploy your app in a Spark streaming environment. Style and approach This book takes a practical approach to help you get to grips with using Spark for analytics and to implement machine learning algorithms. We'll teach you about advanced applications of machine learning through illustrative examples. These examples will equip you to harness the potential of machine learning, through Spark, in a variety of enterprise-grade systems.
Read Less
Add this copy of Mastering Machine Learning With Spark 2. X to cart. $34.99, good condition, Sold by Goodwill of Silicon Valley rated 5.0 out of 5 stars, ships from San Jose, CA, UNITED STATES, published 2017 by Packt Publishing.
Choose your shipping method in Checkout. Costs may vary based on destination.
Seller's Description:
Supports Goodwill job training programs. 3-8 average business day shipping. 97% + we ship same or next business day. Shipping transit days depend on distance from our California location & pls keep track of bad weather can cause delays. We use an expeditor as well as direct drops at US Postal Service twice daily Pacific Time. End delivery is always US Postal Service. Customer service in the California United States Only Pacific Time M-F. PLEASE READ CONDITION NOTES: Every copy graded & checked we always downgrade. Functional copy for everyday use. Tight binding no food or drink stains no tobacco smell. May have written notes highlighting that do not obscure text reading or use. May have overstock mark on spine. Never former libris. May or may not have dust cover and please check condition we are happy to check for you. DJ's may be MISSING have small nicks and tears or taped and intact. Any lower condition we downgrade to acceptable. Please message any questions.
Add this copy of Mastering Machine Learning with Spark 2.x to cart. $47.23, new condition, Sold by Ingram Customer Returns Center rated 5.0 out of 5 stars, ships from NV, USA, published 2017 by Packt Publishing Limited.
Add this copy of Mastering Machine Learning With Spark 2. X to cart. $83.42, good condition, Sold by Bonita rated 4.0 out of 5 stars, ships from Newport Coast, CA, UNITED STATES, published 2017 by Packt Publishing.
Add this copy of Mastering Machine Learning With Spark 2. X to cart. $121.48, new condition, Sold by Bonita rated 4.0 out of 5 stars, ships from Newport Coast, CA, UNITED STATES, published 2017 by Packt Publishing.