I love the fact that these examples are real world and quite useful and interesting to look at (though not all of them are working as is now, things evolve quickly and so are APIs after all). In typical O'Reilly fashion, there's very little math but lots of code snippets. If programming is magic then web scraping is surely a form of wizardry. The book touches quite heavily on using collective information and social site APIs, but what it is really about is data mining. I've read this book multiple times and still refer back to it.

It bridges the gap from applied statistics and artificial intelligence (which usually provide the mathematical background) to database management by exploiting the way data is stored and indexed in databases to execute the actual learning and discovery algorithms more efficiently, allowing such methods to be applied to ever-larger data sets. Be the first to ask a question about Programming Collective Intelligence Anyways, enjoy reading this book,, it is really a great book (I admired the last chapter, #12, which listed all the aforementioned algorithms along with their uses and their pros & cons).Good practical guide for a first contact with analytics, but does not go too deep on the explanations. 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. Beijing • Cambridge • Farnham • Köln • Paris • Sebastopol • Taipei •. Published

I had hoped for a bit more answering of why the more complicated algorithms can be expected to work, but this book was not written for that audience. Also basic artificial intelligence and machine learning techniques are covered (knn, neural nets, svms, decision trees, bayes rule, linear regression, clustering) and even some optimization techniques and a bit of genetic programming. Instead, it explains when the algorithms can be used, and how to implement and use them appropriately.

by It may not be a flaw with the majority of readers, but personally I wouldn't care about the collective, the Facebook API or anything like that, but I was really interested in the different ways to analyse data. The links provided by the book are also broken, would be much better if the author had used tools like bit.ly for the URLs.Very good introduction into machine-learning, information retrieval & data mining related questions. There's a lot more math than I'm used to -- every example so far contains a mathematical function.I lost my copy of this book, which is too bad. Example of 'Programming Collective Intelligence' doesn't work. It does come up with simple but practical data set so that the algorithm makes intuitiWhen this book fist come out in 2007, it generates quite a thrill. Highly recommended.When this book fist come out in 2007, it generates quite a thrill. Just a moment while we sign you in to your Goodreads account. In unserem Ranking finden Sie nur die Produkte mit den höchsten Bewertungen, die durch den Kauf mehrerer Kunden bestätigt wurden, die mit dem gewählten Modell zufrieden waren.Dank der besten E-Commerce-Sites und Online-Bewertungen haben wir auch Informationen über den Preis von Programming collective intelligence gesammelt und einen Durchschnitt angegeben, um Ihnen eine Vorstellung davon zu geben, wie viel Sie ausgeben können.Letzte Aktualisierung am 2020-08-30 / Partnerlinks / Bilder von der Amazon Product Advertising APIzuuka.de ist Teilnehmer am Amazon Services LLC Associates Program, einem Affiliate-Werbeprogramm, das entwickelt wurde, um Websites die Möglichkeit zu geben, Werbegebühren durch Werbung und Links zu amazon.com, amazon.de zu verdienen.Amazon und das Amazon-Logo sind Marken von Amazon.de, Amazon.com, Inc. oder seinen verbundenen Unternehmen.Diese Website verwendet Cookies, um Ihr Erlebnis zu verbessern. Very practical.Extremely basic if you're familiar at all with ML, but its intended audience probably isn't. August 23rd 2007 by O'Reilly Media While you will learn some motivation for using various techniques, you won't be able to start actively using them with just the overviews in this book.This is a beginner's guide to machine learning techniques. Welcome back.

Introduction to Collective Intelligence 1 What Is Collective Intelligence?

If you like books and love to build cool products, we may be looking for you. T...Want to tap the power behind search rankings, product recommendations, social bookmarking, and online matchmaking? The professional programmer's Deitel® guide to Python® with introductory artificial intelligence case studies Written for programmers … This book was one of my first books about application building, as opposed to User Interface or general Computer Science. Highly recommended.If you're looking for a great starting point to learning about machine learning & data analytics, this is it. Yves Hilpisch For many programmers like me, this opens a door to the world of machine learning. 5 stars to this book for being easy to read and well written, presenting some really sophisticated concepts in a very neat way, and finally putting all these concepts along with interesting ideas and examples all in one place. 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. Contribute to arthur-e/Programming-Collective-Intelligence development by creating an account on GitHub. Programming Collective.

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