New PDF release: Algorithms of the Intelligent Web

By Douglas McIlwraith, Haralambos Marmanis, Dmitry Babenko

ISBN-10: 1617292583

ISBN-13: 9781617292583

Summary

Algorithms of the clever internet, moment Edition teaches crucial techniques to algorithmic net information research, permitting you to create your individual computer studying functions that crunch, munge, and wrangle info accumulated from clients, internet purposes, sensors and site logs.

Purchase of the print e-book encompasses 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 net information development extraction.

About the Book

Algorithms of the clever internet, moment Edition teaches you ways to create computer studying functions that crunch and wrangle info accrued from clients, net purposes, and web site logs. during this absolutely revised variation, you are going to examine clever algorithms that extract genuine price from facts. Key laptop studying strategies are defined with code examples in Python's scikit-learn. This e-book publications you thru algorithms to catch, shop, and constitution facts streams coming from the internet. you will discover advice engines and dive into category through statistical algorithms, neural networks, and deep learning.

What's Inside

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

About the Reader

Knowledge of Python is assumed.

About the Authors

Douglas McIlwraith is a desktop studying professional and knowledge technology practitioner within the box of web advertising. Dr. Haralambos Marmanis is a pioneer within the adoption of computing device studying options for business suggestions. Dmitry Babenko designs functions for banking, coverage, and supply-chain administration. Foreword by way of Yike Guo.

Table of Contents

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

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Extra resources for Algorithms of the Intelligent Web

Sample text

Some datasets are numeric, and some aren’t. Some datasets can be ordered, and some can’t. Some numeric datasets are discrete (such as the number of people in a room), and some are continuous (for example, the temperature or the atmospheric pressure). 2 Inference does not happen instantaneously Computing a solution takes time, and the responsiveness of your application may be crucial for the financial success of your business. You shouldn’t assume that all algorithms on all datasets will run within the response-time limits of your application.

An entry indicates the existence of that number in the dataset. Data points represented by the same shape indicate one possible intuitive clustering of the data. mentioning that this simple one-dimensional example demonstrates the concept without loss of generalization. In reality, nontrivial patterns and structure would be found from higher-dimensional data, subject, of course, to the curse of dimensionality. Lloyd’s algorithm works by iteratively trying to determine the means of the clusters in the dataset.

4 Unlike the previous equation, where the parameters are explicitly represented on the left-hand side of the equation, in this case, the parameters are omitted and implied.

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


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