4 books on AI-based Search [PDF]

October 24, 2024

These books explore AI search technologies, such as natural language processing, deep learning, semantic search, and query understanding.

1. Google’s AI Future and What It Means For SEO’S
2023 by Goncalo Paxe Jorge Miguel



Picture a world where Google's AI isn’t just sorting your search results but actively guessing what you’ll want next week, possibly before you even know it yourself. In this thoroughly unnerving yet oddly thrilling book, Goncalo Paxe Jorge Miguel peers into the swirling future of SEO, where algorithms reign supreme and human intuition takes a back seat. With AI poised to revolutionize everything from how we find restaurants to how we understand art, the only certainty is that SEO as we know it is about to be turned on its head—probably by a very clever machine that’s also reading this blurb.
Download PDF

2. Artificial Intelligence for .NET: Speech, Language, and Search: Building Smart Applications with Microsoft Cognitive Services APIs
2017 by Nishith Pathak



For anyone who's ever wished their app could talk back, understand what you meant (not what you said) and then sell you something you didn't know you wanted, Nishith Pathak’s guide is your new best friend. With Microsoft Cognitive Services APIs in hand, you'll soon be building smart applications that can hold a decent conversation while secretly boosting your company’s bottom line. This isn’t just AI—this is AI with manners, capable of speech, language and making you look good with minimal effort. Just a few lines of code stand between you and impressing your boss with an app that seems almost too clever for its own good.
Download PDF

3. Intelligence Emerging: Adaptivity and Search in Evolving Neural Systems
2015 by Keith L. Downing



In a universe where intelligence might just be a cosmic accident, Keith L. Downing’s book insists there’s something far more structured—and far more peculiar—going on. He dives headfirst into the swirling soup of evolving neural networks, both in brains and machines, to argue that intelligence is more like a pop-up ad than a pre-installed feature: it emerges, often unexpectedly and occasionally in ways we’d rather it didn’t. By blending biology with AI, Downing opens up a world where neurons and algorithms both seem to be playing an endless game of hide-and-seek and intelligence is what happens when they finally meet in the middle.
Download PDF

4. Search in Artificial Intelligence
2012 by Leveen Kanal, Vipin Kumar



If you’ve ever found yourself lost in a maze of algorithms, frantically searching for the elusive exit (or the coffee machine), Leveen Kanal and Vipin Kumar have written the ultimate guidebook for navigating AI’s trickiest problem-solving techniques. Once thought to be a solved problem, search algorithms have recently burst back onto the scene with all the flair of a rock band on a reunion tour. From game trees to AND/OR graphs, this book pulls together all the latest breakthroughs, giving you the keys to solving the most fiendish puzzles AI can throw your way—while looking deceptively calm and collected.
Download PDF



How to download PDF:

1. Install Google Books Downloader

2. Enter Book ID to the search box and press Enter

3. Click "Download Book" icon and select PDF*

* - note that for yellow books only preview pages are downloaded