• Programming Collective Intelligence See large image

    Programming Collective Intelligence (Paperback) By (author) Toby Segaran


    $26.55 - Save $15.60 37% off - RRP $42.15 Free delivery worldwide Available
    Dispatched in 4 business days
    When will my order arrive?
    Add to basket | Add to wishlist |

    DescriptionWant to tap the power behind search rankings, product recommendations, social bookmarking, and online matchmaking? This fascinating book demonstrates how you can build Web 2.0 applications to mine the enormous amount of data created by people on the Internet. With the sophisticated algorithms in this book, you can write smart programs to access interesting datasets from other web sites, collect data from users of your own applications, and analyze and understand the data once you've found it. Programming Collective Intelligence takes you into the world of machine learning and statistics, and explains how to draw conclusions about user experience, marketing, personal tastes, and human behavior in general -- all from information that you and others collect every day. Each algorithm is described clearly and concisely with code that can immediately be used on your web site, blog, Wiki, or specialized application. This book explains: * Collaborative filtering techniques that enable online retailers to recommend products or media * Methods of clustering to detect groups of similar items in a large dataset * Search engine features -- crawlers, indexers, query engines, and the PageRank algorithm * Optimization algorithms that search millions of possible solutions to a problem and choose the best one * Bayesian filtering, used in spam filters for classifying documents based on word types and other features * Using decision trees not only to make predictions, but to model the way decisions are made * Predicting numerical values rather than classifications to build price models * Support vector machines to match people in online dating sites * Non-negative matrix factorization to find the independent features in a dataset * Evolving intelligence for problem solving -- how a computer develops its skill by improving its own code the more it plays a game Each chapter includes exercises for extending the algorithms to make them more powerful. Go beyond simple database-backed applications and put the wealth of Internet data to work for you. "Bravo! I cannot think of a better way for a developer to first learn these algorithms and methods, nor can I think of a better way for me (an old AI dog) to reinvigorate my knowledge of the details." -- Dan Russell, Google "Toby's book does a great job of breaking down the complex subject matter of machine-learning algorithms into practical, easy-to-understand examples that can be directly applied to analysis of social interaction across the Web today. If I had this book two years ago, it would have saved precious time going down some fruitless paths." -- Tim Wolters, CTO, Collective Intellect

Other books

Other people who viewed this bought | Other books in this category
Showing items 1 to 10 of 10


Reviews | Bibliographic data
  • Full bibliographic data for Programming Collective Intelligence

    Programming Collective Intelligence
    Authors and contributors
    By (author) Toby Segaran
    Physical properties
    Format: Paperback
    Number of pages: 362
    Width: 178 mm
    Height: 234 mm
    Thickness: 26 mm
    Weight: 640 g
    ISBN 13: 9780596529321
    ISBN 10: 0596529325

    BIC E4L: COM
    Nielsen BookScan Product Class 3: S10.2
    B&T Book Type: NF
    B&T Modifier: Subject Development: 20
    B&T Modifier: Academic Level: 01
    Warengruppen-Systematik des deutschen Buchhandels: 16320
    BIC subject category V2: UM
    B&T Modifier: Text Format: 01
    B&T General Subject: 227
    B&T Approval Code: A93603600
    B&T Merchandise Category: COM
    LC subject heading:
    Ingram Subject Code: XL
    DC22: 006.3
    LC subject heading: ,
    BISAC V2.8: COM051000
    B&T Approval Code: A93203300
    BISAC V2.8: COM051300, COM004000
    DC22: 006.7/6
    LC subject heading: , ,
    B&T Modifier: Region of Publication: 07
    DC22: 005.741
    Libri: AGEN4000, P0039545, INTE5054, KIAA5000, KUEN5600, P0041777
    B&T Approval Code: A93603256
    LC subject heading: ,
    BISAC V2.8: COM051360
    LC classification: QA76.625 .S44 2007
    Thema V1.0: UYQ, UM
    Illustrations note
    1, black & white illustrations
    O'Reilly Media, Inc, USA
    Imprint name
    O'Reilly Media, Inc, USA
    Publication date
    04 September 2007
    Publication City/Country
    Author Information
    Toby Segaran is a software developer and manager at Genstruct, a computational systems biology company. He has written free web applications for his own use and put them online for others to try, including: tasktoy, a task management system; Lazybase, an online application that lets users design, create and share databases of anything they like; and Rosetta Blog, an online tool for practicing Spanish and French by reading blogs along with their translations and lists of common words. Each of these has several hundred regular users. His blog is located at kiwitobes.com.
    Review quote
    "Das Buch ist einfach spannend! Es behandelt klassische KI-Themen im Rahmen von Web 2.0-Anwendungen, also Filtertechniken, Clustering, Mustererkennung, Ranking, Optimierungsprobleme, Entscheidungsbäume bis hin zu genetischer Programmierung, neuronalen Netzen und vieles mehr. Und jedes Kapitel wird mit mindestens einer vollständigen und lauffähigen Anwendung illustriert, die in Python geschrieben ist. [...] Wenn man ein wenig Interesse an Themen der Künstlichen Intelligenz hat und ein paar Grundkenntnisse in Mathematik und Statistik besitzt, ist das Buch ein wirklicher Gewinn." - a href="http://www.schockwellenreiter.de/2007/09/03.html#ichHabeGelesenProgrammingCollectiveIntelligence" target="_blank">schockwellenreiter.de, September 2007