APACHE MAHOUT COOKBOOK PDF

Would you like to tell us about a lower price? If you are a seller for this product, would you like to suggest updates through seller support? 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. Read more Read less.

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Would you like to tell us about a lower price? If you are a seller for this product, would you like to suggest updates through seller support? 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. Read more Read less. Amazon International Store International products have separate terms, are sold from abroad and may differ from local products, including fit, age ratings, and language of product, labeling or instructions.

Manufacturer warranty may not apply. Learn more about Amazon International Store. About the Author Piero Giacomelli started playing with computers back in when he received his first PC a commodore Despite his love for computers, he graduated in Mathematics, entered the professional software industry in , and started using Java.

He has been involved in a lot of software projects using Java,. He is not only a great fan of JBoss and Apache technologies, but also uses Microsoft technologies without moral issues. He has worked in many different industrial sectors, such as aerospace, ISP, textile and plastic manufacturing, and e-health association, both as a software developer and as an IT manager. He is married with two kids, and in his spare time, he regresses to his infancy ages to play with toys and his kids.

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Verified Purchase. This book contains very basic features. I expected more precise use case and data handling technique, such as scaling mahout algorithm with map reduce. The level of the book is very low, every interesting topic is stated as "out of the scope". The main part of the book is wasted in explaining more than once meaningless topics like: how to create a project in netbeans, hot to uncompress a tar file, or even how to write a csv file using java!!

Thumbs down for sure I prefer the cookbook format for learning, so I am a bit biased towards the format of this book. This gave me what I needed to move forward with my exploration of machine learning. Definitely it is a good book with very interesting examples. The code in Java is very basic and easy to follow, it is intended for beginner programmers. 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 is very concise and clear. I downloaded more recent versions of the libraries indicated in the book and the same installation steps were still valid. 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 a more detailed implementation in Java.

One of the nice things about those examples is that 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. This book covers the current 0. The only other Mahout book Mahout in Action covers a much earlier version, and since Mahout code has so much churn that even the online documentation is frequently out of date, it is uniquely positioned to educate people who are new to Mahout or unaware of all its capabilities.

The book's coverage is fairly comprehensive, it attempts to cover all the functionality available in the current Mahout, as well as functionality Genetic Algorithms that have been deprecated but can still be accessed using an older version. However, the book is full of typos that can leave the reader somewhat confused for example, the book asserts that the square root of , is ,11 where it actually meant In another instance, it asserts that rows in a row x 60 column dataset need to be transformed into a element vector when it actually meant The book would also benefit if the sentence structures were reviewed by a native English speaker.

So, if you are willing to think critically as you are reading and mentally ignore the typos and the language, then the book can be useful, otherwise you should wait for the second edition of this book when hopefully these things will be corrected.

I would have given the book 5-stars based on content if it didn't have so many typos. Go to Amazon. Back to top. Get to Know Us. Shopbop Designer Fashion Brands. Alexa Actionable Analytics for the Web. DPReview Digital Photography.

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Apache Mahout Cookbook

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