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ISBN 10: 1617292583 ISBN 13: 9781617292583
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Published by Manning Publications, 2016
ISBN 10: 1617292583 ISBN 13: 9781617292583
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Published by Manning Publications, 2016
ISBN 10: 1617292583 ISBN 13: 9781617292583
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Published by Manning Publications, 2016
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Published by Manning Publications, 2016
ISBN 10: 1617292583 ISBN 13: 9781617292583
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Add to basketpaperback. Condition: Very Good. Algorithms of the Intelligent Web, Second Edition This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. .
Published by Manning Publications -, 2016
ISBN 10: 1617292583 ISBN 13: 9781617292583
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Published by Manning Publications, 2016
ISBN 10: 1617292583 ISBN 13: 9781617292583
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Published by Manning Publications, 2016
ISBN 10: 1617292583 ISBN 13: 9781617292583
Language: English
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paperback. Condition: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority!
Published by Manning Publications 9/8/2016, 2016
ISBN 10: 1617292583 ISBN 13: 9781617292583
Language: English
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Paperback or Softback. Condition: New. Algorithms of the Intelligent Web 0.9. Book.
Published by Manning Publications, 2016
ISBN 10: 1617292583 ISBN 13: 9781617292583
Language: English
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Published by Manning Publications, 2016
ISBN 10: 1617292583 ISBN 13: 9781617292583
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Published by Manning Publications, New York, 2016
ISBN 10: 1617292583 ISBN 13: 9781617292583
Language: English
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Paperback. Condition: new. Paperback. DESCRIPTION There's priceless insight trapped in the flood of data users leave behind as they interact with web pages and applications. Those insights can be unlocked by using intelligent algorithms like the ones that have earned Facebook, Google, Twitter, and Microsoft a place among the giants of web data pattern extraction. Improved search, data classification, and other smart pattern matching techniques can give an enormous advantage to understanding and interacting with users. Algorithms of the Intelligent Web, Second Edition has been totally revised and teaches the most important approaches to algorithmic web data analysis, enabling readers to create machine learning applications that crunch, munge, and wrangle data collected from users, web applications, sensors, and website logs. Key machine learning concepts are explained and introduced with many code examples in Python's scikit-learn. The book guides readers through the underlying machinery and intelligent algorithms to capture, store, and structure data streams. Readers will explore recommendation engines from the example of Netflix movie recommendations and dive into classification via statistical algorithms, neural networks, and deep learning. They will also consider the ins and outs of ranking and how to test applications based on intelligent algorithms. KEY SELLING POINTS Machine learning for newbies Easily accessed examples Concepts presented are technology agnostic AUDIENCE To get the most from this book, you should have a good foundation in Java programming and a general understanding of internet technology. ABOUT THE TECHNOLOGY This book provides an overview, with easy to access examples, of algorithms which learn from data. Such algorithms have been widely adopted by many large internet companies such as Facebook and Google and are continuing to grow in popularity. This book has many examples in Python using the scikit-learn library, however the concepts presented are technology agnostic and can be easily applied with any common programming language. KEY SELLING POINTS Machine learning for newbies Easily accessed examples Concepts presented are technology agnostic AUDIENCE To get the most from this book, you should have a good foundation in Java programming and a general understanding of internet technology. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Add to basketPaperback. Condition: Brand New. 2nd edition. 325 pages. 9.25x7.50x0.50 inches. In Stock.
Published by Manning Publications 2016-03-02, 2016
ISBN 10: 1617292583 ISBN 13: 9781617292583
Language: English
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Published by Manning Publications, 2016
ISBN 10: 1617292583 ISBN 13: 9781617292583
Language: English
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Published by Manning Publications, 2016
ISBN 10: 1617292583 ISBN 13: 9781617292583
Language: English
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Published by Manning Publications, 2016
ISBN 10: 1617292583 ISBN 13: 9781617292583
Language: English
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Published by Manning Publications, 2016
ISBN 10: 1617292583 ISBN 13: 9781617292583
Language: English
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Published by Manning Publications, New York, 2016
ISBN 10: 1617292583 ISBN 13: 9781617292583
Language: English
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Add to basketPaperback. Condition: new. Paperback. DESCRIPTION There's priceless insight trapped in the flood of data users leave behind as they interact with web pages and applications. Those insights can be unlocked by using intelligent algorithms like the ones that have earned Facebook, Google, Twitter, and Microsoft a place among the giants of web data pattern extraction. Improved search, data classification, and other smart pattern matching techniques can give an enormous advantage to understanding and interacting with users. Algorithms of the Intelligent Web, Second Edition has been totally revised and teaches the most important approaches to algorithmic web data analysis, enabling readers to create machine learning applications that crunch, munge, and wrangle data collected from users, web applications, sensors, and website logs. Key machine learning concepts are explained and introduced with many code examples in Python's scikit-learn. The book guides readers through the underlying machinery and intelligent algorithms to capture, store, and structure data streams. Readers will explore recommendation engines from the example of Netflix movie recommendations and dive into classification via statistical algorithms, neural networks, and deep learning. They will also consider the ins and outs of ranking and how to test applications based on intelligent algorithms. KEY SELLING POINTS Machine learning for newbies Easily accessed examples Concepts presented are technology agnostic AUDIENCE To get the most from this book, you should have a good foundation in Java programming and a general understanding of internet technology. ABOUT THE TECHNOLOGY This book provides an overview, with easy to access examples, of algorithms which learn from data. Such algorithms have been widely adopted by many large internet companies such as Facebook and Google and are continuing to grow in popularity. This book has many examples in Python using the scikit-learn library, however the concepts presented are technology agnostic and can be easily applied with any common programming language. KEY SELLING POINTS Machine learning for newbies Easily accessed examples Concepts presented are technology agnostic AUDIENCE To get the most from this book, you should have a good foundation in Java programming and a general understanding of internet technology. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Published by Manning Publications, 2016
ISBN 10: 1617292583 ISBN 13: 9781617292583
Language: English
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Add to basketCondition: New. KEY SELLING POINTS Machine learning for newbies Easily accessed examples Concepts presented are technology agnostic AUDIENCE To get the most from this book, you should have a good foundation in Java programming and a general understanding of internet.