[PDF/EBOOK] Artificial Intelligence A Modern Approach author Stuart Russell – TXT and Kindle eBook


  • Hardcover
  • 1132
  • Artificial Intelligence A Modern Approach
  • Stuart Russell
  • English
  • 10 May 2019
  • 9780137903955

10 thoughts on “Artificial Intelligence A Modern Approach

  1. says:

    This monumental work which completely dominates the AI textbook market has been compared with classics like Watson's Molecular Biology of the Cell and eminently succeeds in its goal of providing a clear single volume summary of the whole field of Artificial Intelligence As pointed out on the book's home page it is used in over 1200

  2. says:

    Heh I opened this up to find the ISBN and found dried blood all over the pages suggesting I read this during my cocaine intensive period back in 1999 2000 That's fitting since cocaine and the study of artificial intelligence seem to enjoy several similarities incredible expense as a barrier to entry exciting short term effects see euphoria A search but letdowns upon prolonged use see addiction combinatorial explosions

  3. says:

    Wants a book that explains broad and deep AI yet in laymen term nearly? This is IT Of all the AI books I have read this one is arguably the most accessible to undergrads CS EE background It assumes only minimal mathematic

  4. says:

    Holy balls this book has a lot of pages I also don't know why these things always have to have separate ``international'' editionsIt starts off strongly for a few hundred pages but then for no reason at all devotes several chapters to high school level probability and statistics before devolving into essentially pointless mathema

  5. says:

    5 stars because there is uite simply no substituteArtificial Intelligence is in the context of the infant science of computing a very old and very broad subdiscipline the Turing test having arisen not only at the same time but from

  6. says:

    For a textbook this is amazingly accessible and interesting if you have any interest in the topic this is the book to read It's 100 or but it's very popular for AI classes so any good college library should have a copy

  7. says:

    The Bible on computational decision making I use this term as this book is not just about the AImachine learning we consistently hear about it’s much This textbook tends to perfection with no stone left unturned Looking forward to the next edition which at the accelerating rate of innovation looks overdue the following sentence surely feel

  8. says:

    OK so I did not read this cover to cover but I did look closely at much of what you might call the foundational chapters just to see 1 is there such a thing as AI or are we just hoping there will be and 2 what can I learn as a philosopher from AI whether it exists or not Goal 2 was much important as I teach a logic of induction class and of course one major pillar of AI would be developing machines that can

  9. says:

    A fantastic textbook that's not only a great introduction to AI but also serves as a survey course in technical writing I only read about 75% of it but definitely plan on revisiting it Re reading some earlier ch

  10. says:

    It was written like a text book for undergrads with extensive coverage of many topics However I was looking for in depth information on knowledge representation But it was too superficial for my need May be in 3rd edition it encompassed the latest ideas in this area

Leave a Reply

Your email address will not be published. Required fields are marked *

Stuart Russell î 9 Download

Artificial Intelligence A Modern Approach

For one or two semester undergraduate or graduate level courses in Artificial Intelligence The long anticipated revision of this best selling text offers the most comprehensive up to date introduction to the theory and practice of artificial intelligence NEW Nontechnical learning material Accompanies each part of the book NEW The Internet as a sample application for intelligent systems. Heh I opened this up to find the ISBN and found dried blood all over the pages suggesting I read this during my cocaine intensive period back in 1999 2000 That s fitting since cocaine and the study of artificial intelligence seem to enjoy several similarities incredible expense as a barrier to entry exciting short term effects see euphoria A search but letdowns upon prolonged use see addiction combinatorial explosions and they ve both ruined plenty of fine careers in computer science We used this book for CS4600 but I only got halfway though that semester and remember little of it see careers in computer science aforementioned negative effects of cocaine on I went back and read most of this in 2003 and found solid coverage of most everything useful I m aware of from AI

Free read ´ E-book, or Kindle E-pub î Stuart Russell

Added in several places including logical agents planning and natural language NEW Increased coverage of material Includes expanded coverage of default reasoning and truth maintenance systems including multi agentdistributed AI and game theory; probabilistic approaches to learning including EM; detailed descriptions of probabilistic inference algorithms NEW Updated and expanded exerci. For a textbook this is amazingly accessible and interesting if you have any interest in the topic this is the book to read It s 100 or but it s very popular for AI classes so any good college library should have a copy

Characters Artificial Intelligence A Modern Approach

Ses 75% of the exercises are revised with 100 new exercises NEW On line Java software Makes it easy for students to do projects on the web using intelligent agents A unified agent based approach to AI Organizes the material around the task of building intelligent agents Comprehensive up to date coverage Includes a unified view of the field organized around the rational decision making. A fantastic textbook that s not only a great introduction to AI but also serves as a survey course in technical writing I only read about 75% of it but definitely plan on revisiting it Re reading some earlier chapters taught me how much I missed on a first read or forgotAIMA doesn t presume a ton of background beyond some programming experience exposure to mathematical notation and a basic understanding of computational complexityalgorithmic efficiencyThe first 10 chapters or so are the best and the second half of the book can be a bit of a trudge as it devolves into mathematical masturbation A lot of the chapters are better served by other resources I highly recommend the CS188 lectures from UC Berkeley for supplementation Unfortunately some chapters are straight up bad the chapter on Philosophical Foundations comes to mind but these tend to be few and far betweenDespite that there is no comprehensive book on AI Read this re read this and treat it with care you will reap the rewards for a long time to come