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    Cover of Algorithms of the intelligent web

    Algorithms of the intelligent web

    Haralambos Marmanis · 2009

    "Algorithms of the Intelligent Web" is an example-driven blueprint for creating applications that collect, analyze, and act on the massive quantities of data users leave in their wake as they use the Web. Readers learn to build Netflix-style recommendation engines, and how to apply the same techniques to social-networking sites.

    Web & InternetAI & Machine LearningComputer Science
    Open LibraryAmazon
    Stats for nerds
    5recommend
    9mentions
    8people
    2009–2023years
    67% recommend33% neutral

    Mentions per year

    20092011201320152017201920212023

    What Hacker News says

    1. ajtaylorOct 2012
      I had bought the book a few months ago for work in a big batch, thinking ahead to the time I would need it. That time came a day ago when I needed to do clustering of markers for displaying on a map. A stackoverflow post mentioned the book, so I pulled it out and was wowed! Great stuff so far.

      I like that the code is in python, which I find easier to read than the java examples in Algorithms of the Intelligent Web. Being a perl guy (and a perl shop), python feels pretty similar and it's easy to port anything I need. If the rest of the book is as good as the clustering chapter, it's going to be a fun treat for my brain!

      thread
    2. mindcrimeFeb 2011
      You can't take enough maths and statistics classes. Machine Learning - these days at least - is very maths and statistics oriented. Linear Algebra is big, so make sure you have that covered.

      If you want to get your toes in the water a bit with ML, there are some great ML libraries that encapsulate some of the popular algorithms. Mahout[1], Weka[2] and Mallet[3] are popular in the Java world,

      A lot of folks use Python for ML as well, and there are some good libraries there.

      The R language is also popular in ML circles; as is C++. If you learn some combination of Java, Python, C++ and/or R, you'll be in good shape from a programming language standpoint.

      Check out http://mloss.org/software/ also.

      Some good books to get started with include:

      Algorithms of the Intelligent Web[4]

      Programming Collective Intelligence[5]

      Collective Intelligence In Action[6]

      Stanford make a great series of lectures[7] available online that you might find useful.

      [1]: http://mahout.apache.org/

      [2]: http://www.cs.waikato.ac.nz/ml/weka/

      [3]: http://mallet.cs.umass.edu/

      [4]: http://www.manning.com/marmanis/

      [5]: http://www.amazon.com/gp/product/0596529325

      [6]: http://www.amazon.com/Collective-Intelligence-Action-Satnam-...

      [7]: http://see.stanford.edu/see/lecturelist.aspx?coll=348ca38a-3...

      thread
    3. pguerinApr 2010
      I also bougth collective intelligence in action and algorithms of the intelligent web. Both are books from manning.com. I love those 2 books more than programming collective intelligence because I find them more complete and as easy to read.
      thread
    4. gtaniNov 2009
      the 2 books on amazon's Bought This Item Also Bought" blurb are more rigorous, and quite useful books, also covering topics like Lucene/SOLR with full java code listsings:

      Algorithms of the Intelligent Web by H. Marmanis

      Collective Intelligence in Action by Satnam Alag

      thread
    5. gtaniOct 2009
      Some other helpful books:

      - Data Mining, by Witten and Franke; describes basics , how to use Weka, which they wrote

      a couple java-based books from Manning:

      - Collective Intelligence in Action (by Satnam Alag) and

      - Algorithms of the Intelligent Web (Marmanis, Babenko)

      thread
    6. dejvAug 2009
      Programming collective intelligence is good book, but Algorithms of the intelligent web is much more deeper and better book.
      thread

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