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Questions tagged [data-science]

Use for questions related to Data Science aspects of AI. Generally speaking, only basic Data Science questions should be asked on this Stack, ideally involving the fundamental concepts. For more advanced questions related to Data Science, please use the Data Science stack: https://datascience....

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9 views

Realistic data technical analysis

Suppose that I have some data like this: How can I algorithmically identify marked parts. Please guide me about some best practice(s) to identify marked parts (where the pattern changes somehow) ...
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1answer
25 views

What does a hybrid Bayesian network contain?

The field of artificial intelligence is so vast. So many methodologies of handling continuous data and just now I have read about Hybrid Bayesian network. I just want to know that what a hybrid ...
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1answer
13 views

How can I evaluate the performance of a system that generates text?

I am preparing to perform research comparing the performance of two different systems that probabilistically generate the next word of an input sentence. For example, given the word 'the', a system ...
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0answers
9 views

Chosing from wide range of methods for Imputing Data

Every time I work onto various data-sets and into handling missing values for the data, a bunch of approach strikes me. How to proceed in such situation? Is there collaborative approach or ...
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2answers
59 views

Ensemble models - XGboost

I am building 2 models using XGboost, one with x number of parameters and the other with y number of parameters of the data set. It is a classification problem. A yes-yes, no-no case is easy, but ...
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2answers
79 views

Decision making systems applications

Machine learning and data science are mainly made for processing large amounts of data nowadays, for example - a multitude of pictures. But do these fields have some applications in the decision ...
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1answer
73 views

Automatic prediction of whether a customer will come into the shop or not

So as my university project I am planning to make a prediction system as described in the title. My current idea is to use the age/gender classifier and run it on a video(taken in front of a shop) ...
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0answers
41 views

How do to mitigate or design out hidden feedback loops when designing ML systems?

Two months ago, I've found myself working on a churn detection problem which can be briefly described as follows: Assume the current date is N Use customer behavior for N-1,..N-x dates to develop ...
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5answers
2k views

What are the mathematical prerequisites to be able to study general artificial intelligence?

What are the mathematical prerequisites to be able to study general artificial intelligence (AI) or strong AI?
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1answer
89 views

Neural Network training beginner question

I have a question about the training sequence regarding Neural Network recognition. Let's say an image has 28*28 pixels, which leads to 784 Input Nodes with various greyscale values and 10 output ...
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4answers
3k views

Why does C++ seem less widely used in AI?

I just want to know why do Machine Learning engineers and AI programmers use languages like python to perform AI task and not C++ even though C++ is technically a more powerful language than python.
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0answers
62 views

Performance Evaluation Metrics used in Training, Validation and Testing

Which specific performance evaluation metrics are used in training, validation and testing and why? I am thinking error metrics (RMSE, MAE, MSE) are used in validation, and testing should use a wide ...
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1answer
57 views

multi vs one prediction using Regression

I was trying to build a prediction system where I have the input data arranged in multiple columns. The input data would be of the type where I have weather, service type (bronze, silver, gold), size(...
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1answer
64 views

Find anomalies from records of categorical data

I have a data-set with m observations and p categorical variables (nominal), each variable ...
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0answers
84 views

Deep NN architecture for predicting a matrix from two matrices

Recently my friend asked me a question: having two input matrices X and Y (each size NxD) where D >> N, and ground truth matrix Z of size DxD, what deep architecture shall I use to learn a deep model ...
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2answers
1k views

How to implement exploration function and learning rate in Q Learning

I'm trying to implement Q-learning (state-based representation and no neural / deep stuff) but I'm having a hard time getting it to learn anything. I believe my issue is with the exploration function ...
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2answers
75 views

Bayesian decision function

How to prove and what is the mathematical condition in terms of probability that a MEASURABLE FUNCTION is a bayesian decision function ? Can you give an example with standard or weighted binary ...
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1answer
99 views

Text analytics for text analysis

I have a huge text where a paragraph is written about a project execution. I need to parse that data and make sense out of it. For example the text states, "Est. 200k USD has been committed on the ...
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0answers
346 views

Forecasting and predict using matlab Artificial Neural Network [closed]

I selected the below data set for forecast and predict using artificial neural network as my final year project. https://archive.ics.uci.edu/ml/datasets/Bank+Marketing. I normalized the data set and ...
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2answers
237 views

Is it possible to classify data using a genetic algorithm?

Is it possible to classify data using a genetic algorithm? For example, would it be possible to sort this database? ( https://archive.ics.uci.edu/ml/datasets/Spambase ) Examples in matlab?
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1answer
70 views

What are the most challenging tasks aiming to achieve the lowest error rate?

For example there is the MNIST database which is used to test artificial neural network (ANN), however it's not so challenging, because some hierarchical systems of convolutional neural networks ...