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.
405 questions
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1answer
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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 ...
4votes
2answers
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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 ...
2votes
1answer
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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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4votes
1answer
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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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3votes
1answer
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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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Data Scientist Trying to Learn Algorithms and Data Structures from "Introduction to Algorithms" book
I am reading the book "Introduction to Algorithms", 4th edition, by Thomas H. Corman, Charles E. Leiserson, Ronald L. Rivest and Clifford Stein to learn relevant knowledge related to ...
1vote
1answer
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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
2votes
2answers
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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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1vote
1answer
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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 ...
0votes
0answers
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How to build a recommendation system Based on user infos and without ratings?
I would like to build a recommendation system based only on user informations(age,sex,zipcode,and some quiz answers),based on those features i want to recommend assurance products, but i am confused ...
0votes
1answer
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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 ...
4votes
1answer
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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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1vote
1answer
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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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1vote
1answer
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How can I predict the best treatment to give to new patient?
As part of a school project, I have to analyze a dataset with patients (with characteristics: sex, age, smoker 0/1, etc.) who received different treatments (one per patient) with a response to this ...
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