Title
Programming Collective Intelligence: Building Smart Web 2.0 Applications,Used
Sold by Ergodebooks, an authorized reseller.
Returns accepted within 30 days | support@ergodebooks.com
Shipping Information
- Free Standard Shipping — United States only
- Processing Time: 1–3 business days
- Estimated Delivery: 3–5 business days after dispatch
- Double-boxed, fully insured & discreetly packaged
- Tracking number sent via email once dispatched
- Orders over $250 require signature upon delivery. Taxes calculated at checkout.
Returns & Refund
Returns accepted within 30 days of delivery.
Damaged or Defective Item
Free return shipping + replacement or full refund
Wrong Item Received
Free return shipping + replacement or full refund
Change of Mind
Return shipping at customer's expense · 25% restocking fee applies
Payment Option
Want 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 generalall 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 mediaMethods of clustering to detect groups of similar items in a large datasetSearch engine featurescrawlers, indexers, query engines, and the PageRank algorithmOptimization algorithms that search millions of possible solutions to a problem and choose the best oneBayesian filtering, used in spam filters for classifying documents based on word types and other featuresUsing decision trees not only to make predictions, but to model the way decisions are madePredicting numerical values rather than classifications to build price modelsSupport vector machines to match people in online dating sites Nonnegative matrix factorization to find the independent features in adatasetEvolving intelligence for problem solvinghow 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 databasebacked 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 machinelearning algorithms into practical, easytounderstand 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
⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.
For more information, please visit www.P65Warnings.ca.gov.
- Q: How many pages does this book have? A: This book has three hundred thirty-four pages. It provides detailed insights and practical knowledge for building Web 2.0 applications.
- Q: What are the dimensions of this book? A: The dimensions of this book are seven point zero one inches in length, nine point one nine inches in height, and zero point nine one inches in width. These measurements make it a standard-sized paperback.
- Q: Who is the author of this book? A: The author of this book is Toby Segaran. He is known for his expertise in programming and data mining.
- Q: What is the primary topic of this book? A: This book focuses on building smart Web 2.0 applications. It emphasizes mining data generated by Internet applications for enhanced functionalities.
- Q: What type of binding does this book have? A: This book is bound in paperback. This makes it lightweight and easy to handle.
- Q: Is this book suitable for beginners? A: Yes, this book is suitable for beginners. It provides foundational knowledge about programming and data mining techniques.
- Q: Can I use this book for advanced programming topics? A: Yes, this book also covers advanced topics in Web 2.0 applications. It is beneficial for those looking to deepen their understanding.
- Q: What kind of applications does this book discuss? A: This book discusses smart Web 2.0 applications. These applications leverage user-generated data for improved user experience.
- Q: Is there a recommended age for readers of this book? A: This book is recommended for readers aged thirteen and up. It assumes a basic understanding of programming concepts.
- Q: How do I best utilize this book for learning? A: To best utilize this book, follow along with the coding examples and exercises provided. Practicing while reading will enhance your learning experience.
- Q: How should I store this book? A: Store this book in a cool, dry place to maintain its condition. Avoid exposure to direct sunlight to prevent fading.
- Q: Can this book be used as a reference guide? A: Yes, this book can be used as a reference guide. Its practical examples make it a useful resource for future projects.
- Q: What if the book arrives damaged? A: If the book arrives damaged, you should contact customer support for assistance. They will guide you through the return or replacement process.
- Q: Is there a warranty for this book? A: No, there is typically no warranty for books. However, check the retailer's return policy for any specific terms.
- Q: Where can I find additional resources related to this book? A: You can find additional resources such as online forums and tutorials by searching for the book's title along with keywords like 'programming' or 'Web 2.0'.
- Q: What are some key features of the Web 2.0 applications discussed? A: Key features include data mining capabilities, user interactivity, and improved user experience based on real-time data analysis. These applications enhance engagement.