Download Algorithms of the Intelligent Web by Douglas McIlwraith, Haralambos Marmanis, Dmitry Babenko PDF

By Douglas McIlwraith, Haralambos Marmanis, Dmitry Babenko

ISBN-10: 1617292583

ISBN-13: 9781617292583

Summary

Algorithms of the clever net, moment Edition teaches an important ways to algorithmic internet information research, permitting you to create your individual computer studying functions that crunch, munge, and wrangle info amassed from clients, net functions, sensors and web site logs.

Purchase of the print e-book incorporates a loose e-book in PDF, Kindle, and ePub codecs from Manning Publications.

About the Technology

Valuable insights are buried within the tracks net clients go away as they navigate pages and functions. you could discover them through the use of clever algorithms just like the ones that experience earned fb, Google, and Twitter a spot one of the giants of internet information trend extraction.

About the Book

Algorithms of the clever net, moment Edition teaches you ways to create desktop studying purposes that crunch and wrangle information accumulated from clients, net purposes, and web site logs. during this completely revised variation, you will examine clever algorithms that extract genuine price from info. Key computer studying strategies are defined with code examples in Python's scikit-learn. This booklet courses you thru algorithms to catch, shop, and constitution facts streams coming from the net. you are going to discover suggestion engines and dive into type through statistical algorithms, neural networks, and deep learning.

What's Inside

  • Introduction to laptop learning
  • Extracting constitution from data
  • Deep studying and neural networks
  • How suggestion engines work

About the Reader

Knowledge of Python is assumed.

About the Authors

Douglas McIlwraith is a desktop studying professional and information technological know-how practitioner within the box of web advertising. Dr. Haralambos Marmanis is a pioneer within the adoption of desktop studying options for business strategies. Dmitry Babenko designs purposes for banking, assurance, and supply-chain administration. Foreword through Yike Guo.

Table of Contents

  1. Building purposes for the clever web
  2. Extracting constitution from facts: clustering and remodeling your info
  3. Recommending appropriate content
  4. Classification: putting issues the place they belong
  5. Case learn: click on prediction for on-line advertising
  6. Deep studying and neural networks
  7. Making the appropriate choice
  8. The way forward for the clever web
  9. Appendix - shooting facts at the web

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Extra resources for Algorithms of the Intelligent Web

Sample text

Org/about/open-letter. 8 19 Summary  We provided the 50,000–foot view of intelligent algorithms, providing many      specific examples based on real-world problems. An intelligent algorithm is any that can modify its behavior based on incoming data. We provided some intelligent-algorithm design anti-patterns that will hopefully serve as a warning flag for practitioners in the space. You’ve seen that intelligent algorithms can be broadly divided into three categories: artificial intelligence, machine learning, and predictive analytics.

Each feature relates to the length and width of the petal and sepal, whereas the class relates to the type of flower that was sampled. The next listing provides a summary of this information. 1. 3% for each of 3 classes. A. gov) :Date: July, 1988 Using the DESCR attribute, you can obtain and print to the console some information that has been recorded about the Iris dataset. data, the features consist of the sepal length (cm), the sepal width (cm), the petal length (cm), and the petal width (cm), in that order.

8 19 Summary  We provided the 50,000–foot view of intelligent algorithms, providing many      specific examples based on real-world problems. An intelligent algorithm is any that can modify its behavior based on incoming data. We provided some intelligent-algorithm design anti-patterns that will hopefully serve as a warning flag for practitioners in the space. You’ve seen that intelligent algorithms can be broadly divided into three categories: artificial intelligence, machine learning, and predictive analytics.

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