Summary

As we use the Web for social networking, shopping, and news, we leave a personal trail. These days, linger over a Web page selling lamps, and they will turn up at the advertising margins as you move around the Internet, reminding you, tempting you to make that purchase. Search engines such as Google can now look deep into the data on the Web to pull out instances of the words you are looking for. And there are pages that collect and assess information to give you a snapshot of changing political opinion.
These are just basic examples of the growth of "Web intelligence", as increasingly sophisticated algorithms operate on the vast and growing amount of data on the Web, sifting, selecting, comparing, aggregating, correcting; following simple but powerful rules to decide what matters. While original optimism for Artificial Intelligence declined, this new kind of machine intelligence is emerging as the Web grows ever larger and more interconnected. 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.
©2013 Gautam Shroff (P)2014 Audible, Inc.
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Customer Reviews

Most Helpful
4 out of 5 stars
By Federico on 09-04-18

What do think of the book?

The audiobook offers a wide range of very interesting topics, which are difficult to find in other books. Unfortunately, it’s not easy to keep track of the many algorithms while listening. The book will be better suited to be read instead of listened to

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2 out of 5 stars
By Will on 14-10-16

Probably better as a book

I'm this line of work, but found it difficult to picture the algorithms the author describes purely in my head on my cycle to work. Rating based on audio book, probably a much better read.

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Customer Reviews

Most Helpful
5 out of 5 stars
By Darkpassenger on 16-04-15

Great book for learning about Deep learning

Great book for learning about Deep learning and anything related to machine learning. Helped me decide how to implement these technologies into my business model.

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4 of 4 people found this review helpful

4 out of 5 stars
By Daniel on 20-03-15

Interesting

There were a lot of interesting ideas in here if you're interested in this topic. It all seems very current (circa 2015). It's hard to walk a line between the lay listener and the expert listener, and I'm not entirely sure where this falls. To me (a lay listener with a bit of background knowledge) it got a bit long winded on the technical side sometimes. But I suspect the balance is actually pretty good.

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2 of 3 people found this review helpful

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