Questions tagged [ai]

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3answers
1k 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
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2answers
334 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
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1answer
434 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
1answer
66 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
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0answers
35 views

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

I created a new AI classifier. Physics Based Classifier
2
votes
3answers
104 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
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2answers
156 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? ...
2
votes
2answers
349 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'...
2
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1answer
28 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
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2answers
33 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 ...
2
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2answers
312 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 ...
1
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1answer
2k 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
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1answer
51 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. ...
1
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3answers
73 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
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1answer
46 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
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1answer
41 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
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1answer
34 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
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0answers
18 views

What is the algorithm/logic top e-commerce companies use to show products in “What's new?” and “Bestsellers” sections on the website?

I am trying to solve this problem for a fashion e-commerce website that sells t-shirts, joggers etc. Till now I am only able to make some rule based logics only. It looks something like this The ...
1
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1answer
69 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 ...
1
vote
1answer
224 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 ...
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0answers
18 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 ...
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0answers
15 views

AI for Robotics, Udacity, Python, normalizing x,y error in toroidal world

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0answers
20 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 ...
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0answers
27 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 ...
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0answers
342 views

Tensorflow and Keras model having same parameters, hyperparameters, weight and bias initialization give different accuracy?

I have made sure that layers,parameters, hyperparameters,kernel_initialization, bias_initialization, seed and dataset are all equal. But still the output for both the models are different. ...
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0answers
29 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 ...
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3answers
2k 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
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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
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1answer
24 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...) ...
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0answers
38 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
225 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
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1answer
35 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 ...
0
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1answer
744 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 ...
0
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2answers
411 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 ...
0
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1answer
34 views

Machine learning, speech recognition technologies for Sound of Animals interpretation

https://www.google.com/search?q=sound+of+animals&client=ms-android-lava&prmd=inv&sxsrf=ALeKk02xrn0-yn-FZSkidTogB4l4B_TH6A:1600539091086&source=lnms&tbm=isch&sa=X&ved=...
0
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1answer
35 views

Reward is converging but actions taken by trained agent are illogical in reinforcement learning

I am training a reinforcement learning agent using DQN. My state space has 6 variables and the agent can one action which is discretized into 500 actions My reward structure looks like ...
0
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1answer
90 views

Which courses should I take in order to learn ML and AI? [closed]

I want to learn ML and AI so I want to know which courses(It would be nice if the courses were free) should I take in order to do that and in what order should I learn them. I want the courses to ...
0
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1answer
130 views

how to classify Iris flowers

I'm working on a classification problem .I want to classify Iris flowers from the famous Iris data set using MLP. I know that I the number of neurons in output layer should be the same number of ...
0
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1answer
24 views

Stamps detection using AI, Computer vision & Machine Learning technologies

https://en.wikipedia.org/wiki/Postage_stamp https://www.google.com/search?q=stamps&client=ms-android-lava&prmd=isnv&sxsrf=ALeKk02Ik_sWwymBctdONPasm7w0YNXcZA:1599240889888&source=lnms&...
0
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0answers
29 views

vanilla policy gradient (reinforce) algorithm for continuous action control

I'm looking to implement a basic vanilla policy gradient (reinforce) algorithm for continuous action control but with 2 twists: The output should be a softmax layer of C classes, such that each C ...
0
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1answer
24 views

Machine Learning algorithm for predicting number of cases in pandemic

I’m giving my first steps with AI and Machine Learning so I have the following issue. I’m trying to predict an outcome from COVID-19 number of day vs confirmed cases using scikit-learn library. I mean,...
0
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0answers
19 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 ...
0
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1answer
27 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 ...
0
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0answers
17 views

Where is the start point if I want to use artificial intelligence on NASA space industry?

It sounds like dump question but as a beginner, working/learning AI and want to understand what artificial intelligence in the NASA space industry is doing. I want to work on this field but I don't ...
0
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0answers
13 views

Several dips in accumulated episodic rewardss during training of a reinforcement learning agent

Hi I am training reinforcement learning agents for a control problem using PPO algorithm. I am tracking the accumulated rewards for each episode during the training process. Several times during the ...
0
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2answers
43 views

Neural network is not giving the expected output after training in Python

My neural network is not giving the expected output after training in Python. Is there any error in the code? Is there any way to reduce the mean squared error (MSE)? I tried to train (Run the ...
0
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0answers
20 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
0
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2answers
146 views

How to calculate Temperature variable in softmax(boltzmann) exploration

Hi I am developing a reinforcement learning agent for a continous state/discrete action space. I am trying to use boltmzann/softmax exploration as action selection strategy. My action space is of size ...
0
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2answers
46 views

Does an RL agent learn during exploitation?

I have started with RL and have some doubts regarding it. Does an RL agent learn during exploitation, or does it only learn during exploration? Is it possible to train a model only using exploitation ...
0
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2answers
264 views

Gym action space for board game with reward function

Im trying to design an openai gym environment that plays a quite simple board game where each player has 16 pieces that are exactly the same in regard to how they can move. The board is 10x10 and ...