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There’s priceless insight trapped in the flood of data users leave behind as they interact with web pages and applications. Those insights can be unlocked by using intelligent algorithms like the ones that have earned Facebook, Google, Twitter, and Microsoft a place among the giants of web data pattern extraction. Improved search, data classification, and other smart pattern matching techniques can give an enormous advantage to understanding and interacting with users.

The “Algorithms of the Intelligent Web” guides you through algorithms to capture, store and structure data streams that come from the web. The authors of this most informative book are Douglas Mcllwraith, Haralambos Marmanis and Dmitry Babenko. Douglas Mcllwraith is a machine learning expert and data science practitioner in the field of online advertising. He currently working as a senior data scientist for a London-based advertising company. Dr.Haralambos Marmanis is the explorer of machine learning techniques for industrial solutions. Dmitry Babenko has designed a variety of applications and infrastructure frameworks for banking. Dmitry received an M.S degree in computer science from Belarussian University. This book teaches you through algorithm, store, capture and structure data streams coming from the web. This book includes the full introduction of machine learning, Extraction structure from data. Furthermore, how recommendation engines work and Deep learning, neural networks. All in all, Algorithms of the Intelligent Web teaches you how to create a machine learning application in the easiest way.