Algorithms of the Intelligent Web

Product Description Summaryalgorithms Of The Intelligent Web, Second Edition Teaches The Most Important Approaches To Algorithmic Web Data Analysis, Enabling You To Create Your Own Machine Learning Applications That Crunch, Munge, And Wrangle Data Collected From Users, Web Applications, Sensors And Website Logs.Purchase Of The Print Book Includes A Free Ebook In Pdf, Kindle, And Epub Formats From Manning Publications.About The Technologyvaluable Insights Are Buried In The Tracks Web Users Leave As They Navigate Pages And Applications. You Can Uncover Them By Using Intelligent Algorithms Like The Ones That Have Earned Facebook, Google, And Twitter A Place Among The Giants Of Web Data Pattern Extraction.About The Bookalgorithms Of The Intelligent Web, Second Edition Teaches You How To Create Machine Learning Applications That Crunch And Wrangle Data Collected From Users, Web Applications, And Website Logs. In This Totally Revised Edition, YouLl Look At Intelligent Algorithms That Extract Real Value From Data. Key Machine Learning Concepts Are Explained With Code Examples In PythonS Scikit-Learn. This Book Guides You Through Algorithms To Capture, Store, And Structure Data Streams Coming From The Web. YouLl Explore Recommendation Engines And Dive Into Classification Via Statistical Algorithms, Neural Networks, And Deep Learning.WhatS Insideintroduction To Machine Learningextracting Structure From Datadeep Learning And Neural Networkshow Recommendation Engines Workabout The Readerknowledge Of Python Is Assumed.About The Authorsdouglas Mcilwraith Is A Machine Learning Expert And Data Science Practitioner In The Field Of Online Advertising.Dr. Haralambos Marmanis Is A Pioneer In The Adoption Of Machine Learning Techniques For Industrial Solutions.Dmitry Babenko Designs Applications For Banking, Insurance, And Supply-Chain Management. Foreword By Yike Guo.Table Of Contentsbuilding Applications For The Intelligent Webextracting Structure From Data: Clustering And Transforming Your Data Recommending Relevant Contentclassification: Placing Things Where They Belongcase Study: Click Prediction For Online Advertisingdeep Learning And Neural Networksmaking The Right Choicethe Future Of The Intelligent Webappendix - Capturing Data On The Web About The Author Douglas Mcilwraith Earned His First Degree At Cambridge In Computer Science Before Completing A Phd In Sensor Fusion From Imperial College In London. He Is A Machine Learning Expert, Currently Working As Senior Data Scientist For A London-Based Advertising Company.Dr. Haralambos Marmanis Is A Pioneer In The Adoption Of Machine Learning Techniques For Industrial Solutions. He Has 25 Years Experience In Developing Professional Software.Dmitry Babenko Has Designed And Built A Wide Variety Of Applications And Infrastructure Frameworks For Banking, Insurance, Supply-Chain Management, And Business Intelligence Companies. He Received A M.S. Degree In Computer Science From Belarussian State University Of Informatics And Radioelectronics.