The Intelligent Web: Search, smart algorithms, and big data


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The Intelligent Web: Search, smart algorithms, and big data

More Details Other Editions 2. Friend Reviews. To see what your friends thought of this book, please sign up. To ask other readers questions about The Intelligent Web , please sign up. Lists with This Book. This book is not yet featured on Listopia. Community Reviews. Showing Rating details. Sort order. The book is also historical in scope, explaining how key technologies and theories, like the theory of information, helped make the intelligent web possible. However, what made this book stand out for me was how accurate and detailed it went into the subject matter, especially for a lay book.

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The reader is introduced to text vectorizing, categorical label encodings, hashing, rules learning, resampling, associative learning, and a host of other nitty-gritty tools for practical machine learning. The reader almost gets practical knowledge from this reading, which is rare again for a lay book. Perhaps I'm biased cause of my daily use of these apparatus, but I felt the reading of this book was easily comprehensible while jogging, which few technically oriented text are, unfortunately. Part of this comprehension is achieved by minimizing direct calculations, and by focusing more on general descriptions of procedures or broad high-level stepwise explanations of the algorithms.

Actually, this book could serve as a decent review even to practitioners who may want to cast their often disjoint understanding of machine learning techniques under a unified, largely historical narrative. The only negative is that the book was written in , and therefore much of the GPU revolution with respect to deep neural networks is largely missing, which includes some outdated commentary on the difficulty of image and video learning with respect to self-driving vehicles.

Although difficult from a human standpoint, engineering and computing have tamed this domain since the publication, which demonstrates the velocity of change in this field. It definitely would be a good secondary light reference book. Highly recommend Feb 27, Kevin Orrman-Rossiter rated it really liked it.

There have been many recent successes in the field of artificial intelligence. Others are seemingly less obvious, but no less impressive for that. The ability to recognise speech is not far behind, as any user of There have been many recent successes in the field of artificial intelligence. The ability to recognise speech is not far behind, as any user of the Siri feature on Apple iPhones can attest to. The point to note is that artificial intelligence technologies are becoming more important, more inconspicuous and an integral part of mainstream computing. In The Intelligent Web, Gautam Shroff successfully argues that many of the recent successes have come through the deployment of many known but disparate techniques working together.

Semantic arguments aside, Shroff presents his case logically and convincingly. In the book he dissects the ability to connect the dots. He argue, quite convincingly, that this ability is composed of looking and experiencing the world around us, next is to listen to what is important and discard the irrelevant, then to connect different facts and derive new conclusions.

Then is the ability to to make predictions about the future and finally go put these to good use to correct and control our actions. The bulk of the book is chapters devoted to each of these steps.

Shroff accomplishes this with great diligence and intelligence. The web intelligence systems themselves do not generate their overarching goals; these are built in, by their creators, i. Shroff in his epilogue poses the thought that for the web intelligence systems of today to cross the chasm, integrate these six elements and become a mind is an achievable scientific task worthy of the effort. The tenuous links are there for the reader to make if they choose. As presented by Shroff these links are more tenuous than the very worthwhile and entertaining Wetware: a computer in every living cell by Dennis Bray.

Where Bray provocatively engages in the debate about the computational capabilities of protein networks not too dissimilar from an electronic web network. This book requires attention and diligence to read. It does not effortlessly tackle a complex subject with the insightful ramble of Bray in Wetware, for example. May 28, Ross Brannigan added it Shelves: learning-computer-science. Gautam Shroff takes us on a journey through the computer science of search, natural language, text mining, machine learning, swarm computing, and semantic reasoning, from Watson to self-driving cars.

This machine intelligence may even mimic at a basic level what happens in the brain. Nielsen Library. My Account. Log Out. Search for. Advanced Search. Logged In As.


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The Intelligent Web: Search, Smart Algorithms, and Big Data by Gautam Shroff

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The Intelligent Web: Search, smart algorithms, and big data The Intelligent Web: Search, smart algorithms, and big data
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