Ted Dunning Book order

Machine learning offers a rich potential for expanding the way wework with data and the value we can mine from it. To do this well inserious production settings, it’s essential to be able to manage theoverall flow of data and work, not only in a single project, but alsoacross organizations.This book is for anyone who wants to know more about gettingmachine learning model management right in the real world,including data scientists, architects, developers, operations teams,and project managers. Topics we discuss and the solutions we proposeshould be helpful for readers who are highly experienced withmachine learning or deep learning as well as for novices. You don’tneed a background in statistics or mathematics to take advantage ofmost of the content, with the exception of evaluation and metricsanalysis.

Authors Ted Dunning and Ellen Friedman (Real World Hadoop) help you explore some of the best technologies to handle stream processing and analytics, with a focus on the upstream queuing or message-passing layer.

If you’re a business team leader, CIO, business analyst, or developer interested in how Apache Hadoop and Apache HBase-related technologies can address problems involving large-scale data in cost-effective ways, this book is for you. Using real-world stories and situations, authors Ted Dunning and Ellen Friedman show Hadoop newcomers and seasoned users alike how NoSQL databases and Hadoop can solve a variety of business and research issues. You’ll learn about early decisions and pre-planning that can make the process easier and more productive. If you’re already using these technologies, you’ll discover ways to gain the full range of benefits possible with Hadoop. While you don’t need a deep technical background to get started, this book does provide expert guidance to help managers, architects, and practitioners succeed with their Hadoop projects.

<div> <p>When computers harness prior experience to improve future performance, a type of artificial intelligence called machine learning has been applied. The Apache Mahout project is focused on three types of machine learning that are of particular interest to modern web developers "recommendation systems, classification, and clustering.</p> <p>Through real-world examples, <i>Mahout in Action</i> introduces the sorts of problems that these techniques are appropriate for, and then illustrates how Mahout can be applied to solve them. It places particular focus on issues of scalability, and how to apply these techniques at very large scale with the Apache Hadoop framework.</p> </div>