Questions tagged [algorithms]
An algorithm is a set of one or more computations that will produce a calculated result. All statistics methods are algorithms. Algorithms can be simple, such as calculating a percentage, or can be very complex and require a computer for fast and accurate results.
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How to detect issues with time series data from multiple related measuring devices?
This is quite a detailed problem I think, so let me provide some context first. I have a quite complex electrical circuit that I am regularly monitoring to make sure it is functioning properly. To do ...
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Is it acceptable to say that regression, k-means, svm, naive bayes, etc. are design patterns for either prediction or classification?
In development, we have design patterns: observer, visitor, singleton, abstract factory...
When looking at concurrency problems: guard, cohort, reader-writer, producer-consumer, dining philosophers...
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How to use graph convolutional neural network (GCNN) to predict the appropriate patterns to solve an scheduling problem
I am working on a scheduling problem where I am willing to solve that by Graph Convolutional Neural Network (GCNN). The problem is stated as follows:
There is an assembly product graph with $\text{G(V,...
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Name of algorithm that maps a string column to a float column, based on an aggregation with another float column , similar to TF-IDF
The Question
I'm not super familiar with the name's of common algorithms in Data Science, and I feel like this would be something that is commonly used, and so should have a name - want to refer to ...
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What ML algorithm to find, considering one local authority, what competencies it has/or not that other ones have mostly choosen to discard/take?
I would like to know to what machine learning algorithm my problem belongs.
In France, our 1,200 local authorities have competencies: each one depicts a range of services they are expected to provide ...
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Looking for a better way to calculate positive rate of combinations' sum
Suppose you have a list of float numbers with a size of 10, and you choose 5 numbers out of such list and sum them up to form a new number, generating all possible combinations now you have a new list ...
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How to Classify Driving Behaviors (Acceleration, Braking, Turning) Using 2D Coordinates and Velocity?
I'm working on a project to classify driving behaviors based on a vehicle's position and velocity data. For each time step, I have the following information:
$x, y $ : Position coordinates in a 2D ...
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The classifications from the model do not align well with business expectations or the "X" metric
Could this discrepancy be caused by the threshold strategy? If so, how should I optimize or adjust these thresholds?
How can I better align the model outputs with the business context of "X"?...
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Leetcode vs Hackerrank in Algorithm Practice
Has anyone used both Leetcode and Hackerrank to practice algorithms? Which one do you think would hit more interview questions?
Amelie
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Why does the regression model produced by XGBoost depend on the order of the training data when more than 8194 data points are used?
When I use XGBRegressor to construct a boosted tree model from 8194 or fewer data points (i.e., n_train $\leq$ 8194, where ...
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Sampling multiple masked tokens through Metropolis–Hastings
I'm trying to replicate the finding of the the publication "Exposing the Implicit Energy Networks behind Masked Language Models via Metropolis-Hastings" for obtaining the joint distribution ...
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Guidelines for image recognition model (inventory purposes)
I have 20,000 plus images of art (paintings, sculptures, jars, etc) stored in a data base. The actual pieces are distributed in multiple warehouses. Ideally, the physical pieces SHOULD have a sticker ...
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Unsupervised detection and counting of a pattern in a time signal without pre knowledge
I'm facing a problem and it seems I can't find a working solution since a few years.
TLDR : Is there a well-known algorithm or NN-model that is able to autodetect and count patterns in a time signal ...
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Algorithm for picking N random uniformly distributed samples, in irregular polygon?
Say want to pick a fixed number of samples from a large 2D dataset, such that they relatively evenly distributed over the whole sample area. Imagine places in a country - so the border of the data is ...
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Find closest color class to an RGB value
I have a module that estimates the color of an object and returns an RGB value in this format: (40, 48, 68) which corresponds to this color:
Now I have to classify ...
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