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Amazon.com で最も参考になったカスタマーレビュー (beta)
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6 人中、6人の方が、｢このレビューが参考になった｣と投票しています。
"In Action" Absolutely. Machine Learning text converted to usable code
2011/10/21
形式:ペーパーバック|Amazonが確認した購入
I have a large scale production code background and have been slowly getting deeper and deeper into recommenders, classification & clustering due to the nature of our business. The Data Mining textbooks have a very different objective, which is to cover every technique so that the person taking the class knows ins and outs of these.
Mahout in Action is written and explained so well with simple real life explanations and definitely executable code that you can gather all the techniques you've heard/read about come right near your grasp. Just extend your arms and reach for that recommender or clusterer.
A big thanks to every Mahout contributor and double thanks to the authors.
Oh by the way! Order the book. At whatever price, this will save you hundreds of hours of reading and coding.
Mahout in Action is written and explained so well with simple real life explanations and definitely executable code that you can gather all the techniques you've heard/read about come right near your grasp. Just extend your arms and reach for that recommender or clusterer.
A big thanks to every Mahout contributor and double thanks to the authors.
Oh by the way! Order the book. At whatever price, this will save you hundreds of hours of reading and coding.
4 人中、4人の方が、｢このレビューが参考になった｣と投票しています。
Excellent
2011/12/19
形式:ペーパーバック
Lucidly written, great for noobs. I am not a software engineer and I started learning from Machine learning from scratch. And I totally got it!
8 人中、6人の方が、｢このレビューが参考になった｣と投票しています。
Great introduction to Apache Mahout!
2011/10/15
形式:ペーパーバック
If you're interested in large scale machine learning, then this book is for you.
This book doesn't provide deep coverage of theoretical foundations of machine learning (I would recommend to look to other books, like Introduction to Machine Learning (Adaptive Computation and Machine Learning series), Machine Learning in Action or Programming Collective Intelligence: Building Smart Web 2.0 Applications, etc., if you want to get more background), but concentrates on explanation on how to use Apache Mahout ([...]) to solve some of machine learning problems: making recommendations, data clustering & classification.
For each of class of these problems, description starts with base things, and continues with more complex examples, including complete solutions, that could be easily adapted for your machine learning problems. All examples that come with book were checked with actual release of Apache Mahout (version 0.5).
Book is written in succinct, but understandable language and provides many code snippets that make understanding of topics much easier. Interesting solution in e-book version of Mahout in Action, is inclusion of audio & video snippets, that explains and/or show "hard places". There is also interesting description of one of Mahout's deployments in real world, where it's used in e-commerce.
So I recommend this book if you're interested in solving machine learning problems that works with very large data sets.
This book doesn't provide deep coverage of theoretical foundations of machine learning (I would recommend to look to other books, like Introduction to Machine Learning (Adaptive Computation and Machine Learning series), Machine Learning in Action or Programming Collective Intelligence: Building Smart Web 2.0 Applications, etc., if you want to get more background), but concentrates on explanation on how to use Apache Mahout ([...]) to solve some of machine learning problems: making recommendations, data clustering & classification.
For each of class of these problems, description starts with base things, and continues with more complex examples, including complete solutions, that could be easily adapted for your machine learning problems. All examples that come with book were checked with actual release of Apache Mahout (version 0.5).
Book is written in succinct, but understandable language and provides many code snippets that make understanding of topics much easier. Interesting solution in e-book version of Mahout in Action, is inclusion of audio & video snippets, that explains and/or show "hard places". There is also interesting description of one of Mahout's deployments in real world, where it's used in e-commerce.
So I recommend this book if you're interested in solving machine learning problems that works with very large data sets.
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