Data Science Stack Exchange
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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.

100 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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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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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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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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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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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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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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What is semantic gap? Why it exists in AI

The semantic gap characterizes the difference between two descriptions of an object by different linguistic representations, for instance languages or symbols. The semantic gap can be defined as "the difference in meaning between constructs formed…
Eshitha Aluthwala
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How to generalize comments using NLP

I have list of log comments in CSV file. I want to cluster those log comments using K-Means and after that I want convert each cluster comments into general form. for eg. I have bunch of comments in one cluster which starts from "Reservation number…
Ajay Panchal
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