Questions tagged [books]

For questions related to books in the context of artificial intelligence. For example, if you're looking for a reference AI book, you may use this tag. If you want someone to clarify something in an AI book, you can use this tag.

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2
votes
1answer
37 views

Is existence and uniqueness of state-value function at $\gamma < 1$ theoretical?

Consider the following statement from 4.1 Policy Evaluation of the first edition of Sutton and Barto's book. The existence and uniqueness of $V^{\pi}$ are guaranteed as long as either $\gamma < 1$...
3
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1answer
147 views

How is the state-value function expressed as a product of sums?

The state-value function for a given policy $\pi$ is given by $$\begin{align} V^{\pi}(s) &=E_{\pi}\left\{r_{t+1}+\gamma r_{t+2}+\gamma^{2} r_{t+3}+\cdots \mid s_{t}=s\right\} \\ &=E_{\pi}\...
2
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0answers
32 views

suitable reference for reinforcement learning for beginners [duplicate]

I am looking for a reference book on RL for first time learners, one that is a gentle introduction and not as wordy as Sutton/Barto. I am interested in something similar to Georgia Institute of ...
1
vote
1answer
20 views

What is meant by “real-valued argument” in this context of the convolution operation?

Consider the following statement from Deep Learning book (p. 327, chapter 9: Convolutional Networks) In its most general form, convolution is an operation on two functions of a real-valued argument. ...
4
votes
1answer
210 views

What does “statistical efficiency” mean in this context?

Consider the following statement(s) from Deep Learning book (p. 333, chapter 9: Convolutional Networks) Convolution is thus dramatically more efficient than dense matrix multiplication in terms of ...
1
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0answers
36 views

Is there any comprehensive book that reviews topics in the area of brain-inspired computing?

I am looking to write my master's thesis next year about brain-inspired computing. Hence, I am looking to get a good overview of this domain. Do you know of any comprehensive book that reviews topics ...
2
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0answers
20 views

In Probabilistic Graphical Model (written by Daphne Koller), what's the meaning of “parameter” in representation of the distribution?

I just started to read the PGM book written by Daphne Koller. In the chapter of Bayesian Network Representation(Chapter 3), there are some descriptions about the standard parameterization of the joint ...
4
votes
2answers
596 views

What are other examples of theoretical machine learning books?

I am looking for a book about machine learning that would suit my physics background. I am more or less familiar with classical and complex analysis, theory of probability, сcalculus of variations, ...
4
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2answers
172 views

What introductory books to reinforcement learning do you know, and how do they approach this topic?

Currently, I'm only going through these two books Reinforcement Learning: An Introduction, by Sutton and Barto: RL explained on an engineering level (mathematical, but readable for a non-...
1
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0answers
25 views

Are there any good resources (preferably books) about techniques used for entity extraction?

Given some natural language sentences like I would like to talk to Mr. Smith I would like to extract entities, like the person "Smith". I know that frameworks, which are capable of doing ...
3
votes
1answer
587 views

What are some resources on computational learning theory?

Pretty soon I will be finishing up Understanding Machine Learning: From Theory to Algorithms by Shai Ben-David and Shai Shalev-Shwartz. I absolutely love the subject and want to learn more, the only ...
1
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4answers
96 views

What are examples of books or papers on the details of convolutional neural networks?

I'm studying a master's degree and my final work is going to be about the convolutional neural network. I read a lot of books and I did Convolutional Network Standford's course, but I need more. Are ...
3
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1answer
98 views

Which books or papers clearly explain the relation between Ising models and deep neural networks?

I am looking for a book or paper which clearly explains the relationship between Ising models and deep neural networks. Can anyone provide any references?
3
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1answer
68 views

Which part of “Perceptrons: An Introduction to Computational Geometry” tells that a perceptron cannot solve the XOR problem?

In the book "Perceptrons: An Introduction to Computational Geometry" by Minsky and Papert (1969), which part of this book tells that a single-layer perceptron could not solve the XOR problem? I have ...
5
votes
2answers
79 views

Which linear algebra book should I read to understand vectorized operations?

I am reading Goodfellow's book about neural networks, but I am stuck in the mathematical calculus of the back-propagation algorithm. I understood the principle, and some Youtube videos explaining this ...
2
votes
1answer
36 views

What does the notation $[m]=\{1, \ldots, m\}$ mean in the equation of the empirical error?

The empirical error equation given in the book Understanding Machine Learning: From Theory to Algorithms is My intuition for this equation is: total wrong predictions divided by the total number of ...
3
votes
0answers
47 views

What are examples of good reference books on unsupervised learning?

I am looking for good introductory and advanced books on unsupervised learning. I have already read books like Probabilistic Graphical Models from D. Kholler and Pattern Recognition and Machine ...
3
votes
2answers
237 views

What are some books or state of the art papers about the development of a strong-AI?

I am looking for books or to state of the art papers about current the development trends for a strong-AI. Please, do not include opinions about the books, just refer the book with a brief ...
17
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3answers
1k views

What are the mathematical prerequisites for an AI researcher?

What are the mathematical prerequisites for understanding the core part of various algorithms involved in artificial intelligence and developing one's own algorithms? Please, refer some specific books....
8
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2answers
1k views

What are some alternatives to the book “Artificial Intelligence: A Modern Approach”?

There are two textbooks that I most love and am most afraid of in the world: Introduction to Algorithms by Cormen et al. and Artificial Intelligence: A Modern Approach by Norvig et al. I have started ...
5
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2answers
254 views

What are some intermediate or advanced books on neural networks?

Is anyone able to recommend some resources (preferably books) on the topic of neural networks that goes beyond that of introductory reading? I'm still relatively new to the subject, however, I have ...