“Apache Mahout Cookbook” provides a fresh, scope-oriented approach to the Mahout world for both beginners as well as advanced users. The book gives an. Apache Mahout Cookbook has 12 ratings and 5 reviews. Tadas said: Just recently finished reading Apache Mahout Cookbook so I can say a thing or two about. 25 items Apache Mahout Cookbook is ideal for developers who want to have a fresh and . good book, Hadoop Operations and Cluster Management Cookbook.
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apahce Thanks for telling us about the problem. Return to Book Page. Apache Apacye Cookbook by Piero Giacomelli. Apache Mahout Cookbook uses over 35 recipes packed with illustrations and real-world examples to help beginners as well as advanced programmers get acquainted with the features of Mahout. No previous knowledge of Mahout is required, and even skilled zpache o Apache Mahout Cookbook uses over 35 recipes packed with illustrations and real-world examples to help beginners as well as advanced programmers get acquainted with the features of Mahout.
No previous knowledge of Mahout is required, and even skilled developers or system administrators will benefit from the various recipes presented Published December 26th by Packt Publishing first published January 1st To see cookbok your friends thought of this book, please sign up. To ask other readers questions about Apache Mahout Cookbookplease sign up. Be the first to ask a question about Apache Apace Cookbook. Lists with This Book. This book is not yet featured on Listopia.
Feb 10, Tadas Subonis rated it really liked it. Just recently finished reading Apache Mahout Cookbook so I can say a thing or two about it now. The first thing to notice is that the introduction covers in detail how to install and run Mahout.
Also, it gives a kinda shallow overview of Hadoop that the reader, in my opinion, should already know about. Skipping that might make some of file manipulation and steps look like magic. Overall, it gives enough to start off with your very first Mahout run.
Apache Mahout Cookbook – O’Reilly Media
Chapter 3 covers some info on how to import data Just recently finished reading Apache Mahout Cookbook so I can say a thing or two about it now. Chapter 3 covers some info on how to import data to Hadoop and Mahout from external sources. More experienced Hadoop or Linux mahoht might want to skip that right away.
The rest of the book covers actual Machine Learning stuff for Mahout. Regarding Machine learning algos presented in the book, I doubt that there can be anything special said about them.
They are standard approaches used widely in apqche. What makes their presentation in the book nice is that Java based and command line ways to do that are always shown.
What I also found very nice, was references to papers from some of the approaches which are very useful for more advanced users who might want to mahotu about the method in depth.
Even more frustrating, this was presented in screenshots multiple times and I find that just a waste of space.
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It would have been better if that was just described somewhere in an appendix. I would expect that even beginners with Mahout should be able to create a class by themselves without any instructions. To conclude, I found this book useful and helpful. Recipes themselves in the book I found clear and useful, though sometimes more practical examples could be given. Some irritating stuff along the way but explanations are good and examples are ready to use – hence cookbook. Not mahokt book to cover machine learning in depth.
Mar 24, Christian Sousa rated it really liked it. Definitely it is a good book with very interesting examples. The code in Java is easy to follow. This is a book about practical examples with Mahout, and as the author notes, his intention was not to teach the theory of the machine learning algorithms.
To know more in detail about the algorithms and understand more about machine learning you will have to follow the external references and papers that the author linked in each chapter. The first chapter deals with the environment and setup. The setup Definitely it is a good book with very interesting examples. The setup is very concise and clear. I downloaded more recent versions of the libraries indicated in the book and the same installation steps were xookbook valid.
The versions I ended up using were: It is better to check out the previous version 0. It is really nice to finish the first chapter running a real example. In chapters 2 and 3 the author explores the storage options we have to load and save our datasets.
This is done using sequential files as we are used in Hadoop or using Sqoop to import data from DB into the Hadoop file system. From chapter 4 the fun starts with an example of a machine learning algorithm in each chapter. I like the approach of using first the algorithm from command line with predefined parameters and then reproduce it later with copkbook more detailed implementation in Java.
: Apache Mahout Cookbook (): Piero Giacomelli: Books
One of the nice things about those examples is the datasets. Those come from real life data.
In particular I liked the stock market forecasting from chapter 5 and the spectral clustering of medical images from chapter 7. This last one showing the author experience in that field. Apr 03, Ankur Singh rated it it was amazing. This book is good for beginners with each step explained with screenshots and step by step in details How to do it sections are really impressive. Best thing is that it gives the working spache with hadoop and mahout instead of dull and boring documentation given at other places.
With the given instruction I was able to setup my single node hadoop cluster with mahout in action: Jan 31, Ccookbook rated it really liked it. Very well written for Developers who are new to both Mahout and Machine Learning, with walk-throughs and screenshots.
Concise and to the point, few clerical errors and typos, though. This book certainly makes a mahut academic companion if anyone plan to use Mahout in their academic research project. Jul 06, Pgiacome added it.
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