Data Science Stack Exchange
Data Science Stack Exchange

Questions tagged [ai]

AI (Artificial Intelligence) is a branch of computer science concerned with creating human-like intelligence in machines (including perception, learning, problem solving and decision making).

AI (Artificial Intelligence) is a branch of computer science concerned with creating human-like intelligence in machines (including perception, learning, problem solving and decision making). Consider whether your question is a better fit for the dedicated ai.stackexchange site before asking it here.

114 questions
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Difference between machine learning and artificial intelligence

Is there any difference between machine learning and artificial intelligence? Or do these terms refer to the same thing?
Sairaam Venkatraman
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What are some good books on Machine Learning and AI like Krugman, Wells and Graddy's "Essentials of Economics"

I am a Logistics student. I like the book "Essentials of Economics" by Krugman, Wells and Graddy in that it is concise, easygoing and not only a beginners book (it gradually approaches advanced subjects thus paving the way for further rigorous…
user36339
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Masking during transformer inference?

I send to following question to both ChatGPT and Deepseek. "Let's say we're not training the large language model, we are inferencing. The model already generated a sequence [A,B,C] and is about to predict next token D. The model needs to perform…
OnCodeDeny
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Check If Answer for a Question is Correct by Similarity

Let's say in an NLP problem, I have a question and some correct answers to that question (say, 10 correct answers). Is there a way to get a new answer as input, and "calculate" whether it is correct?
user3712353
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Can AI (NLP) convert user questions (text) into database SQL queries?

I have been reading about NLP but got confused and not able to figure out - if it is feasible for NLP to convert questions in natural language to transform into SQL queries (so that it can execute on concerned database and fetch the output). Ex. If…
ranit.b
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Does OpenAI and ChatGPT use Scikit Learn?

Scikit Learn is Python's go-to open source package for running common AI and machine learning algorithms. Does OpenAI and its product ChatGPT use or rely on Scikit Learn on its back-end at all? If not, what do they use?
user610620
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Could my AI classifier be extended to categorical data?

I created a new AI classifier. Physics Based Classifier
Barrett Duna
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How to generate a sentence with exactly N words?

Thanks to GPT2 pretrained model now it is possible to generate meaningful sequence of words with or without prefix. However a sentence should end with a proper endings (.,!,?). I am just wondering how to generate a sentence (with proper ending) of…
user185597
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What does scaling a gradient do?

In the MuZero paper pseudocode, they have the following line of code: hidden_state = tf.scale_gradient(hidden_state, 0.5) What does this do? Why is it there? I've searched for tf.scale_gradient and it doesn't exist in tensorflow. And, unlike…
Pro Q
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Policy Gradient with continuous action space

How to apply reinforce/policy-gradient algorithms for continuous action space. I have learnt that one of the advantages of policy gradients is , it is applicable for continuous action space. One way I can think of is discretizing the action space…
chink
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How large of a value should a weight have in a neural network?

If you're assigning random values to the weights in a neural network before back-propagation, is there a certain maximum or minimum value for each weight ( for example, 0 < w < 1000 ) or can weights take on any value? Could a network potentially…
PickleDonk
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Convolutional neural network low performance

Problem description I'm doing Signal Modulation Classification using a Convolutional Neural Network, but performances are very low (around 15% accuracy) and I can't find out why. Data Dataset is composed by 220.000 rows like these. Data is perfectly…
Marte Valerio Falcone
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Machine Learning - Euclidian Distance Classifier exercise

I'm taking part in an elective subject at university which mainly focuses on the foundations of Machine Learning. Now we got our first exercise - this task should be done practically in any language (I've chosen Python). Our teacher doesn't explain…
Max
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"Learning" algorithm to use when future depends on past events (MDP property not met)

There are around 5 different retirement plans available in my country. People can pick from them freely. I would like to create a solution that would try to predict the best plan(s) given a particular set of initial conditions (representing a person…
White_Raven
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Significance of Object-Oriented Programming (OOP) in Data Science

Can someone please explain to me the role of Object-Oriented Programming (OOP) and Object-Oriented Design (OOD) in Data Science? I am from a non-computer science background. Do I need to learn these as well to become a Data Scientist? Also, please…
user103085
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