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).

Filter by
Sorted by
Tagged with
13
votes
8answers
1k views

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?
5
votes
3answers
3k views

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 ...
4
votes
2answers
696 views

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?...
4
votes
1answer
629 views

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 ...
3
votes
2answers
946 views

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'...
3
votes
1answer
67 views

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 ...
3
votes
1answer
109 views

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 ...
3
votes
2answers
53 views

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 ...
3
votes
0answers
46 views

Could my AI classifier be extended to categorical data? [closed]

I created a new AI classifier. Physics Based Classifier
2
votes
3answers
228 views

Significance of Object-Oriented Programming (OOP) in Data Science [closed]

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 ...
2
votes
2answers
136 views

Convolutional Neural Network for Signal Modulation Classification

I recently posted another question and this question is the evolution of that one. By the way I will resume all the problem below, like if the previous question didn't ever exist. Problem description ...
2
votes
1answer
88 views

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 "...
2
votes
1answer
43 views

Call routing using AI

I'm trying to find out how AI can help with efficient customer service, in fact call routing to the right agent. My usecase is given context of a query from a customer and agents' expertise, how can ...
2
votes
1answer
110 views

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 ...
2
votes
2answers
321 views

Training an AI to play Starcraft 2 with superhuman level of performance?

I'm interested in working on challenging AI problems, and after reading this article (https://deepmind.com/blog/deepmind-and-blizzard-open-starcraft-ii-ai-research-environment/) by DeepMind and ...
2
votes
1answer
37 views

Machine Learning - Euclidian Distance Classifier exercise [closed]

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 (...
2
votes
0answers
26 views

"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 ...
2
votes
1answer
688 views

Deep learning based Resume Parser and Scoring

I want to know if Deep learning can be used for Resume Parsing and scoring of the resume. Currently what I am doing is extracting the text from pdf or image using OCR/tesseract and finding the ...
2
votes
0answers
527 views

TensorFlow and Keras models having same parameters, hyperparameters, weights and bias initialization giving different accuracy

I have made sure that layers, parameters, hyperparameters, kernel_initialization, bias_initialization, seeds and datasets are all equal. But still the output for both the models are different. ...
1
vote
2answers
169 views

What is the relationship between AI and data science?

I think they share a lot (e.g. machine learning is a subset of both, right?), but maybe both have elements the other doesn't have? Could you name some in that case? Or is one a subset of the other? ...
1
vote
1answer
2k views

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 ...
1
vote
1answer
3k views

Using SMOTE for Synthetic Data generation to improve performance on unbalanced data

I presently have a dataset with 21392 samples, of which, 16948 belong to the majority class (class A) and the remaining 4444 belong to the minority class (class B). I am presently using SMOTE (...
1
vote
1answer
36 views

what does one Shot learning mean? do they only need one image to train for some new class detection?

Being new to deep learning I am somewhat struggling to grasp the idea of one shot learning. Let us say I have a class to detect which didn't exist in training dataset such as COCO or Image NET. Can I ...
1
vote
3answers
84 views

Data science which is not part of AI?

I have understood that data science is part of AI. However, do we have some area in data science which we can say does not fall under AI? If yes, please name them.
1
vote
2answers
725 views

RandomForest surprisingly high accuracy

I've been experimenting with Random Forests on Python after trying Naive Bayes which gave me lower accuracy than I expected, 62%. My csv file has around 14,000 records, I use 80% for the training set ...
1
vote
1answer
16 views

How many run should we implement on the machine learning model?

Theoretically, we can implement fix seed on the machine learning model to get the same results every run (reproducible)but it may leads to bias. So, in order to prevent bias, I gonna run the model ...
1
vote
1answer
117 views

Convolutional neural network giving high confidence on wrong classification

I am doing a project on sign language recognition through CNN. My Dataset 300 images for each alphabet and one special symbol for space. Images are taken from three individuals. Each image has hand ...
1
vote
1answer
106 views

Having a reward structure which gives high positive rewards compared to the negative rewards

I am training an RL agent using PPO algorithm for a control problem. The objective of the agent is to maintain temperature in a room. It is an episodic task with episode length of 9 hrs and step size(...
1
vote
1answer
47 views

Formulation of a reward structure

I am new to reinforcement learning and experimenting with training of RL agents. I have a doubt about reward formulation, from a given state if a agent takes a good action i give a positive reward, ...
1
vote
0answers
11 views

What AI predictions can be done using Temperature and Current features of electrical assets?

I have recently deployed hundreds of IoT based Temperature/Humidity and 3-phase Current sensors on electrical assets/machines(e.g. welding machine, integrated panel etc) in a warehouse and waiting for ...
1
vote
0answers
19 views

AI algorithm model that outputs a list of unknown length [closed]

I have a dataset with the following x columns: date time is_weekend is_holiday start_intersection end_intersection The output is a list of intersections, that connect start_intersection with ...
1
vote
0answers
29 views

Backpropagation on a CNN

I have tried searching for this, but it seems like no one addresses a key aspect of this problem (or maybe I'm overthinking this): So, first let's assume we have a 3x3 image with a single channel, and ...
1
vote
0answers
58 views

Machine learning algorithms for suggesting new baby names [closed]

https://www.lexalytics.com/lexablog/machine-learning-natural-language-processing https://towardsdatascience.com/named-entity-recognition-ner-meeting-industrys-requirement-by-applying-state-of-the-art-...
1
vote
1answer
27 views

I'm planning to record video now and then analyze it in the future once AI programs are more accurate, what resolution and FPS should I record at? [closed]

I'm going to record videos and want to future proof them for AI analysis as much as possible. I have a decent amount of storage to work with, 2.7TB. I'm hoping to make it last for at least two years. ...
1
vote
1answer
130 views

Need help with prolog program

I am new to prolog and need help on how to write a prolog program. Here is what i am trying to do. I have downloaded the dataset from this link - https://archive.ics.uci.edu/ml/datasets/Blood+...
1
vote
0answers
42 views

Why the validation accuracy does not increase in a normal way over the epochs?

I'm trying to transfer learning VGG16 model with imagenet in a dataset of retinal images but i'm confused to get a graph like this in the picture below, I don't know why the validation accuracy didn't ...
1
vote
0answers
25 views

RESOURCE EXHAUSTED error with Kfold on a facial landmarks data

i am currently working with helen dataset to predict facial landmarks. Currently running the program on a Geforce 1070. The highest batch size i can give is 230 and i am getting a loss of 3 and ...
1
vote
0answers
28 views

Rewards are converged but with a lot of variations

I am training a reinforcement learning agent on an episodic task of fixed episode length. I am tracking the training process by plotting the cumulative rewards over an episode. I am using tensorboard ...
1
vote
0answers
28 views

Can linear classifiers be used at each node of a decision tree instead of the lines parallel to any one of the axes?

I am relatively new to AI/ML. I came across this question while reading some content on ML. Would be of great help if anyone can answer this
1
vote
0answers
39 views

temperature variable in boltzmmann-exploration in reinforcement learning

I have been using epsilon greedy action selection strategy and recently have come across boltzmann(softmax) action selection strategy. One thing I am not clear about boltzmann exploration is the ...
1
vote
0answers
32 views

What kinds of math do I need to know to construct graph that preserve its directed simplicies at each time step? [closed]

First of all Thank you for taking your time to answer my questions. Disclaimer: I am no where near expert. I am just an undergrad student who is planning to get PhD in Deep Learning. I have been ...
1
vote
3answers
3k views

Is it possible to make a CS:GO Machine Learning AI? [closed]

I am not an expert on Machine Learning, Neural Networks or NEAT. In fact, I probably have no clue what I'm talking about. My question is if you can make a learning AI that learns to play complex ...
1
vote
0answers
30 views

What kind of neural network would work best for loosely-defined data, like video game RAM?

I'm trying to build out a network layer map for a neural network to use in an NES AI. Most networks I run across on web searches are CNNs that use image data to identify things. Miles and miles and ...
1
vote
1answer
30 views

AI that maximizes the storage of rectangular parallelepipeds in a bigger parallelepiped

As you can see in the title, I'm trying to program an AI in Java that would help someone optimize his storage. The user has to enter the size of his storage space (a box, a room, a warehouse etc...) ...
1
vote
0answers
46 views

Check If Answer is Correct by Similarity

I am new to data science and machine learning. Let's say that I have a question, and some correct answers for that question (for example, 10 correct answers). Is there a way to get a new answer as ...
1
vote
1answer
276 views

when to use dot product and when to use the common product In neural networks?

I wanted to know when to use dot product and when to not , I also don't know when we must transpose an array and why should we , could someone help me to understand this ? If you could give me the ...
0
votes
1answer
34 views

How to grade an interaction that a user had with a post with an AI based on big data?

Context I'm creating a social network. The thing is, I don't want to order posts by likes, or something like that, I'm using an AI (lightfm in ...
0
votes
1answer
61 views

Difference between $Q(s,a)$ ,$V^*(s)$ and $V^\pi(s)$ in Markov Decision Process?

I am new to RL and I am trying to understand how to find solutions of an MDP. This is what I understand so far -> since the nature of our environment is stochastic, at a state 's' if we take an ...
0
votes
1answer
58 views

Will the job of Data Science is going to be at risk? [closed]

Data Science is the sexiest job of 21st Century according to the different sources with a high payment salary . But it seems that there will be over production of this profession . According to U.S. ...
0
votes
1answer
60 views

How to handle differences between training and deploying of an RL agent

Hi I am training an RL agent for a control problem. The objective of the agent is to maintain temperature in a zone. It is an episodic task with episode length of 10 hrs and actions being taken every ...