Artificial Intelligence A Modern Approach(3rd edition)

Authors:

Stuart Russell, Peter Norvig

Type:Hardcover/ PaperBack / Loose Leaf
Condition: Used/New

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Book details

ISBN: 136042597, 978-0136042594

Book publisher: Pearson

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Book Price $0 : Artificial Intelligence: A Modern Approach by Stuart Russell and Peter Norvig is a seminal text in the field of AI, providing a comprehensive overview of AI methodologies, techniques, and their applications. In its third edition, it continues to explore the fundamental concepts of artificial intelligence, including search algorithms, probabilistic models, machine learning, and robotics. The book delves deeply into problem-solving via intelligent agents, offering insights into how these agents can reason, learn, perceive, and act in complex environments. The theoretical underpinnings of AI are well-supported by practical examples and case studies, making it both an academic reference and a practical guide. This edition includes updated content to reflect recent advancements in the field, enhancing its status as a staple in AI education. The solution manual provides detailed worked examples and further clarifies complex theories, while the answer key assists learners in verifying their understanding. Additionally, the table of content is meticulously organized to guide readers effortlessly through topics such as natural language processing, neural networks, and ethical considerations in AI. The book has received widespread acclaim for its clear presentation and has become a key resource in university curricula worldwide. For those exploring the depths of AI, it serves as both a foundational text and an advanced tutorial, ensuring a thorough understanding of both current practices and future directions in artificial intelligence. In the constantly evolving field of artificial intelligence, acquiring knowledge about deep learning, reinforcement learning, heuristic search, and Bayesian networks is imperative. Understanding the implications of AI in both technological and ethical domains is essential for modern education. Offering a cheap alternative without sacrificing content quality, this text is a popular choice in universities.

See the other edition of "Artificial Intelligence A Modern Approach"

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Artificial Intelligence A Modern Approach - 2nd Edition

Stuart J. Russell and Peter Norvig

ISBN: 8120323823, 9788120323827, 978-0137903955

$0 $24.95

Customer Reviews

Trusted feedback from verified buyers

AH
Amelia Hopkins
5.0
I randomly found this AI book when looking for something free to help me get a grip on my new AI class. Honestly didn’t have high hopes since it was free, but it turned out better than expected. I got really stuck before when tackling decision tree algorithms in my assignments, so when I reached Chapter 9 about search algorithms and heuristics, things clicked. The chapter broke down complex ideas into simple steps and gave me a kind of “aha!” moment about how algorithms weigh options and decide the best path. The little diagram examples helped too — seeing the tree visual made it way easier to picture how the computer thinks. After that, I tried to apply what I learned in some coding practice sessions where I built a fruit sorting bothe using best-first search. It actually felt doable for once! One downside was some of the terminology assumed you already knew modern AI jargon, which slowed me down at first. But once I dug in deeper it sorted itself out. Loving the clarity in this chapter especially so I’m planning to keep referencing it. If you’re a student finding AI kind of of globby and confusing, this book (and especially Chapter 9) is a great boost — plus, it was free so how can you complain? Totally recommend to anyone needing some hands-on, simple thinking on AI search tips. Van Dang.
LH
Lucy Hughes
5.0
Best book for learning this subject. Clear examples throughout. Highly recommended for new learners.
CP
Clara Pratt
5.0
Needed this for my course CS 410: Foundations of Artificial Intelligence and snagged it for free, which was cool. the book breaks down some wild AI stuff that honestly seemed over my head at first into something I could sort of get. I haven’t finished all of it yet but the way it explains search algorithms and logic has been super useful with homework and projects. a few terms were confusing at first but I just Googled them as I went. totally glad i got it since it’s been making class work a lot easier. good vibes for anyone starting out with AI stuff!
HS
Hope Sutton
2.0
So the book’s been on an accidental road trip between states or something, going back and forth like NY to CA then NY again—even after days huh? Tracking’s been all over, kind of wild considering the delivery windows here. I mean at least it’s free, but can shipping find a direct route next time? Bit of a hassle.
BM
Bradley Mercer
3.0
Being a little overwhelmed at first since CS 442: Artificial Intelligence Concepts and Applications tosses in a lot of stuff to learn, grabbing this free book really helped me keep up during lectures. The way it breaks down AI ideas feels pretty clear at times, but some sections get kinda dense, especially with the newer terms and mathematical stuff. Took me a bit to figure out certain chapters, so not exactly a quick read. Shipping was fast and the book looked decent, so no complaints there. I’m still using it here and there as a reference, but yeah, it took some patience to get used to. Good enough for the price though (free!).
TJ
Todd Jenkins
4.0
Was hunting for some free resources to not totally drown in my AI class when I stumbled upon this ebook. It’s free, so I thought, why not give it a try? I kept hitting a wall with how search algorithms actually work in practice, especially 'cause everything looked super abstract during lectures. Chapter 4, which digs into uninformed and heuristic search methods, hooked me. The way it walked through examples like BFS, DFS, and A* made the tough stuff click somehow. It didn’t drown me in heavy jargon right away either, and seeing those small, step-by-step roadmaps in action helped a ton. That “aha” moment was real when it explained why some searches are more efficient depending on the problem — I’d never quite gotten how heuristics steer searching until then. Got kind of motivated after that and tried applying the best-first search technique to a coding task where I had to optimize pathfinding in a simulated maze. Worked way better than I expected. Only gripe is that some of the notation and terms still surface around without much warning, so it’s not always breezy. But for zero cost and being pretty clear on the main stuff? Definitely worthwhile. If your course is messing with you on how search algorithms really function, that chapter—plus the easy-to-read style—should help set things straight. Would tell classmates to grab it if they’re looking for a no-pay yet helpful explain of AI basics. Not fancy but gets the job done, so 4 stars from me!