Learning Apache Mahout

Build and personalize your own classifiers using Apache Mahout About This BookExplore the different types of classification algorithms available in Apache MahoutCreate and evaluate your own ready-to-use classification models using real world datasetsA practical guide to problems faced in classification with concepts explained in an easy-to-understand mannerWho This Book Is ForIf you are a data scientist who has some experience with the Hadoop ecosystem and machine learning methods and want to try out classification on large datasets using Mahout, this book is ideal for you. Knowledge of Java is essential. In Detail This book is a practical guide that explains the classification algorithms provided in Apache Mahout with the help of actual examples. S...

A fast, fresh, developer-oriented dive into the world of Mahout Overview Learn how to set up a Mahout development environment Start testing Mahout in a standalone Hadoop cluster Learn to find stock market direction using logistic regression Over 35 recipes with real-world examples to help both skilled and the non-skilled developers get the hang of the different features of Mahout In Detail The rise of the Internet and social networks has created a new demand for software that can analyze large datasets that can scale up to 10 billion rows. Apache Hadoop has been created to handle such heavy computational tasks. Mahout gained recognition for providing data mining classification algorithms that can be used with such kind of datasets. "Apache Mah...

Apache Mahout: Beyond MapReduce." Distributed algorithm design" This book is about designing mathematical and Machine Learning algorithms using the Apache Mahout "Samsara" platform. The material takes on best programming practices as well as conceptual approaches to attacking Machine Learning problems in big datasets. Math is explained, followed by code examples of distributed and in-memory computations. Written by Apache Mahout committers for people who want to learn how to design distributed math algorithms as well as how to use some of the new Mahout "Samsara" algorithms off-the-shelf. The book covers Apache Mahout 0.10 and 0.11....