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.

Filter by
Sorted by
Tagged with
1
vote
1answer
30 views

How to score the health of a company? [closed]

i'm currently doing dual apprenticeships. My main mission is to represent the health of a company based on accounting records for multiple companies over multiple years. The part of an accounting ...
0
votes
0answers
30 views
+50

Estimate eps value in DBSCAN using KNN algorithm

I would like to estimate the best eps value for the DBSCAN algorithm on this dataset by following this set of rules: Set a minPts: 10 Compute the reachability distance of the 10-th nearest neighbour ...
4
votes
4answers
602 views

What is the difference between AI, ML, NN and DL? [closed]

What is the difference between the following four categories: Artificial Intelligence (AI) Machine Learning (ML) Neural Network (NN) Deep Learning (DL) Data Science My current understanding is that ...
0
votes
1answer
20 views

Does my prediction improve when I use more, but worse classifiers?

I have a logical problem when programming my tumor identification algorithm. In my data sample, I have tested multiple antibodies on tumors - to identify whether those tumors are good or bad. This is ...
1
vote
1answer
18 views

Click Through Rate calculation (CTR) calculation problem

So I'm doing a use case for a company interview and one of the questions is to calculate the CTR for a sorting algorithm. My question would be: Should I remove the operations where there were no ...
-1
votes
1answer
26 views

How Should I deal with my imbalanced binary target [closed]

I am trying to model my data with Python and i am having concerns about my binary target variable, because it has 90% cases falling in 0 and 10% of the cases falling in 1. I have tried upsampling my ...
0
votes
0answers
12 views

Matching financial reconciliation data / matching multiple rows based on column values

I'm working with financial reconciliation data and the ask is to train the algorithm to match transactions (that are otherwise manually matched if the existing application didn't because not all the ...
2
votes
0answers
19 views

Deep Continious Clustering algorithm - just one output cluster

I use the DCC algorithm to cluster some data. The whole algorithm is available here, but shortly it is: construct mkNN graph of the data points (the connected components of it are the clusters). ...
0
votes
0answers
29 views

What algorithmic solution would you use for this scenario?

The Project In a Nutshell Use an algorithmic solution to predict with 70%+ accuracy in as close to real-time as possible the increase and decrease of at least three numeric incremental movements for a ...
0
votes
1answer
33 views

How can a ML algorithm learn to classify fake news? [duplicate]

I am new in Machine learning techniques and in fake news detection by using these algorithms (SVM, nn, logistic regression,..). I would like to understand how an algorithm can learn from a training ...
0
votes
0answers
28 views

Proximity multi-dimentional arrays. Which algorithms are commonly used?

I'm new to data science so still learning so much. I've been searching for proximity algorithms but I'm not sure which are suited for multi-dimensional arrays. Any guidance would be greatly ...
1
vote
0answers
26 views

Finding linear regimes in data

I am trying to find all linear regimes in a certain plot, given certain data points. If you are given two vectors of data $y$ and $x$ and $y$ is some possible non-differentiable function of $x$, how ...
1
vote
0answers
15 views

Triplet optimization producing a weird diagonal line?

I'm pretty sure this is the right forum for this, or let me know otherwise, I'll happily move this to a better place. I have a strange problem. I've written an algorithm designed to take three files ...
1
vote
0answers
29 views

What is the meaning of Information with respect to interpretability approaches in machine learning?

I was going through a pre-print on arXiv named "Quantifying interpretability and trust in machine learning systems". There, I found that a comparison of two interpretability approaches - ...
0
votes
1answer
24 views

Binary classification: how to transform features in real numbers?

I want to train a binary classification algorithm for spam detection using labeled data set. The dataset has the following features: ...
1
vote
0answers
27 views

Do learning rate scheduler have any significant improvement or redundant on Adam optimizer?

As in paper, Adam optimizer is adaptive learning rates algorithm. Is learning rate scheduler become redundant when use with Adam and AdamW ? Is it best practices to use learning rate scheduler with ...
0
votes
0answers
41 views

Good mathematically explained algorithm for Hyperparameter Optimization (Bayesian) for implementing in Java

I have implemented Random Forest, Bagging, Gradient Boosting, etc... in java myself. It took a long time to complete these machine learning algorithm codes. But at last all of them are well running. ...
0
votes
3answers
85 views

Which algorithm to use for transactional data

I'm given a Dataset of transactions and asked to find insights for businesses. I'm extremely new to ML / Data science and have only been experiencing with KMeans. The dataset has the following ...
0
votes
0answers
10 views

Fitting Point Set with Other Point Sets [closed]

I'm attempting to recreate some figures from a publication I read (I'm a math minor, so apologies in advance for my weak terminology knowledge, and for the same reason if I'm in the wrong stack site). ...
3
votes
2answers
192 views

Decision Tree : how to determine target in a model with no labels?

I am studying classification algorithms using decision tree approach in Python. I would have some questions on this topic, specifically regarding the target (y) in my dataset. I have a dateset made by ...
5
votes
2answers
121 views

Stacking and Ensembling methods in Data Science

I understand that using stacking and ensembling has become popular, and these methods can give better results than using a single algorithm. My question is: What are the reasons, statistical or ...
0
votes
1answer
21 views

Algorithm query for bank customer segmentation

I've been using k-means clustering for bank customer segmentation up until now and I'm looking to explore other clustering algorithms in the banking domain. Is it a good idea to use affinity ...
3
votes
1answer
41 views

Expectation Maximization Algorithm (EM) for Gaussian Mixture Models (GMMs)

I'm trying to apply the Expectation Maximization algorithm (EM) to a Gaussian Mixture Model (GMM) using Python and NumPy. The PDF document I am basing my implementation on can be found here. Below are ...
1
vote
2answers
31 views

How do I select the “best” unsupervised machine learning algorithm to cluster my specific dataset?

I want to cluster a dataset without prior knowledge on the correct amount of clusters. For different algorithms (i.e. k-means, gmm...) I can iterate through different values and try to find the best ...
1
vote
0answers
37 views

What is the name of non-neural network algorithms

i am writing papers for my academic degree on machine learning. everytime I get confused when I try to put a name for standard algorithms (KNN, Linear Regression, Random Forest, etc) ( the non-neural ...
0
votes
0answers
14 views

Best algorithm for the chains of events

I have a big amount of customer journeys, where CJ is a sequence of user interactions with the site. It looks like: read an article in the blog -> checked the special offer -> watched video about the ...
0
votes
1answer
37 views

kMean clustering for recommendation

I have a file with 50000 rows from a library platform. Each individual row saves a user, and shows the order in which the user, has selected. The books could be from various categories (e.g. roman, ...
0
votes
0answers
9 views

Optimal graph search algorithm for probabilistic world

Greeting, i have the following world: ~500-600 states ~4-5 action per state. 4 of the states of a coin on them. Some action are probabilistic (for example "Jump from A to B,C" , has 20% of ending ...
7
votes
2answers
100 views

Creating a generic mathematical formula using a genetic algorithm

Assuming all of the following; I have 4 known numbers, all within a 0-400 range, like this: ...
1
vote
0answers
13 views

Meta Learning: how to train a model with Support Set and Query Set

I've just started to learn Meta Learning reading the book Hands-On Meta Learning with Python. I think I know the answer for my question, but I'm a little confuse about how to implement the algorithm ...
0
votes
1answer
35 views

How to choose the best algorithm

this might be simple but I need to know how to choose a best algorithm based on a scenario. I have a dataset. The target class is, let's say color, this ...
0
votes
1answer
19 views

Analysis of Alternating Decision Tree on Weka

I am applying the AD Tree algorithm & this is the tree visualization of the output: I can't understand the values in the decision nodes (-0.4,0.541,-0.882...), How are these calculated? & how ...
2
votes
1answer
30 views

Is there any way to calculate a relevance score between a title and the content of a text?

My question might sound a little bit stupid but I am trying to come up with a way to measure the relevance of the title of a text, let's say a piece of news headline, to the content. My idea would be ...
0
votes
0answers
13 views

huge disbalance between Dc and Dm in gradient descent

i get a huge gap in my starting position between Dc and Dm and although they both go down in each itteration,still the gap is so huge that when one comes close to zero the other is still very large ...
1
vote
0answers
22 views

Different Decision Tree pruning method

I am trying to learn different pruning methods for decision trees. I have put together a list of methods below. Reduced Error Pruning Cost Complexity pruning Minimum error pruning Pessimistic Error ...
0
votes
0answers
18 views

gradient descent regression in matrices form diverges

I am trying to build fit the best fit for my random distribution. I have done exactly by the formulas in the book shown bellow. I get divergence in the error function. Where did I go wrong? my Matlab ...
0
votes
1answer
77 views

What is the scalability of linear regression and decision trees?

Recently I'm studying machine learning algorithms among them linear regression and decision tree so I have a question regarding the scalability of both algorithms. Can anyone provide what is the ...
1
vote
1answer
68 views

gradient descent diverges extremely

I have manually created a random data set around some mean value and I have tried to use gradient descent linear regression to predict this simple mean value. I have done exactly like in the manual ...
0
votes
1answer
36 views

When to use k-medoids over k-means and vice versa?

I had someone ask me about k-medoids at work and don't know about the performance of this algorithm over other clustering algorithms (namely k-means as it is most similar to it). In this case, it was ...
2
votes
0answers
20 views

Assigning points to fitted planes

I’m working on a project involving fitting planes to 3D point clouds. The actual plane fitting part is working fine, but I’m trying to decide the best way to actually bound the fitted planes by the ...
5
votes
2answers
93 views

Predict a sequence given many sequences

I'm trying to find an algorithm that would fit this use case: My data: a bunch of fixed-size integer arrays, e.g. [0,2,3,4,5] [1,2,3,1,5] [4,1,2,4,5] ... Input: ...
1
vote
2answers
34 views

What is the most effective unsupervised ML algorithm to use when outliers are present in data set?

I am analyzing a portfolio of about 225 stocks and have gotten data for each of them based on their "Price/Earnings ratio", "Return on Assets", and "Earnings per share growth". I would like to cluster ...
0
votes
1answer
40 views

Clustering a variable based on another variable or set of variables

df11[['COMPONENT_ID','FIRMWARE','SERIAL','CRP0_VDDN']].head() Consider I have these four columns to analyse. I want to form say 3-5 clusters of COMPONENT_IDs with ...
1
vote
1answer
27 views

How does the construction of a decision tree differ for different optimization metrics?

I understand how a decision tree is constructed (in the ID3 algorithm) using criterion like entropy, gini index, variance reduction. But the formulae for these criteria do not care about optimization ...
0
votes
1answer
41 views

I want to know which machine learning algorithms can be used for trajectory classifications?

I am working on project for clustering of air objects based on their trajectories. Like I want to train a model on dataset of different flying object's trajectories so later I can predict what type of ...
1
vote
1answer
33 views
0
votes
0answers
20 views

What algorithm to use for finding artists/bands in text and differentiating between artists that share the same name

Here's the data I have: Text from articles from various music blogs & music news sites (title, summary, full content, and sometimes tags). I used a couple different NLP/NER tools (nltk, ...
0
votes
0answers
31 views

How do clustering works in Gravitational Emulation Local Search

I've been reading this paper titled Efficient clustering in collaborative filtering recommender system: Hybrid method based on genetic algorithm and gravitational emulation local search algorithm for ...
0
votes
1answer
25 views

Which algorithms should I use for identifying similar characteristics between data points (the intersections)?

I am working with a dataset that has been coded and categorized, so that each datapoint has a set of coded characteristics. An example data point would be something like the following: Example Data ...
3
votes
1answer
35 views

Understanding pseudocode for co-democratic learning

I am reading this blog from Sebastian Ruder blog-link, researcher scientist at Deepmind, and having problems understanding this pseudocode for Democratic Co-learning. Can somebody help me understand ...

1
2 3 4 5
7