All Questions
Tagged with algorithmsr
15 questions
1vote
1answer
41views
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
1answer
32views
How to Identify Repeating Data Entries when the Repeated Entries are Spelled or Constructed Differently
I have a dataset of entries and a variable for the owner of the entry. Some of these people occur more than once. However, the names are sometimes written differently. I want to eventually be able to ...
1vote
0answers
44views
How to convert this forumal to a proper code?
I have the following formula [1] that I attempted to transform in to a function via R. However, my initial outputs are disconcerting. Before I go through many blocks (images), I am hoping to get ...
1vote
0answers
93views
Mean-variance mapping optimization (MVMO) in R
Someone know tell me if there is any package in R about Mean-variance mapping optimization (MVMO) algorithm? I already researched, but don't find anything about this.
1vote
0answers
196views
Statistical Significance in Pairwise Ranking Algorithm
Can anyone recommend an algorithm/toolkit to rank items that have been rated in a hot-or-not style that gives statistical significance? For example, out of a set of N images, two images are shown to ...
3votes
1answer
110views
Machine Learning/Text Analysis/Algorithm Pointers
I'm looking for a reference or point in the right direction since I'm not too familiar with machine learning or algorithms. I'd prefer to work in R, but I could also do Python. Any reference to a ...
1vote
0answers
505views
Pattern recognition in 2D dataset [closed]
I'm not familiar with the ways and tools of data scientists but I have a background in software engineering and mathematics. I'd need to recognize patterns in a two-dimensional data set. I have a lot ...
1vote
1answer
45views
Model selection for a "set of linear models"?
I would appreciate your input on which predictive ML model(s) could fit our dataset the best. The primary features of the dataset are x,y (continous) and c (factor with around L=500 unordered levels)....
0votes
1answer
85views
allocation to customers [closed]
My data set contains the pickup latitude, pickup longitude of the customer and drivers current location latitude and longitude. My aim is to distribute a set of M or M-x (in the case where shortage ...
-1votes
1answer
740views
OOP for data science [closed]
I'm an R user trying to learn python. I normally create functions and do loops but I 've never created an object. I wonder if there's something that I'm really missing. Can you give a useful example ...
3votes
2answers
3kviews
Simple implementation of Apriori algorithm in R
I am preparing a lecture on data mining algorithms in R and I want to demonstrate the famous Apriori algorithm in it. My question Could anybody point me to a simple implementation of this algorithm ...
9votes
1answer
8kviews
How does SQL Server Analysis Services compare to R?
This may be too broad of a question with heavy opinions, but I really am finding it hard to seek information about running various algorithms using SQL Server Analysis Service Data Mining projects ...
3votes
3answers
2kviews
training one SVM model for predicting more than one response variable
Please I want to know if there is any SVM R package that can handle more than one response variable (y) at a time. that is to train one model for predicting more than one response variable. it could ...
6votes
2answers
10kviews
Is the GA R package the best Genetic Algorithm package?
I am learning about Data Science and I love the Healthcare part. That's why I have started a blog and my third entry is about using Genetic Algorithm for solving NP-Problems. This post is https://...
11votes
1answer
721views
Fisher Scoring v/s Coordinate Descent for MLE in R
R base function glm() uses Fishers Scoring for MLE, while the glmnet appears to use the coordinate descent method to solve the ...