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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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Dimensionality reduction categories

According to what I found, dimensionality reduction has two types feature selection and feature extraction . In feature extraction, we find PCA, LDA ,LLE , ISOMAP, etc.. In other works i find random ...
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Product classification in hierarchical categories based on multiple parameters and non-standard descriptions

I want to start a machine learning project in my company and a really big pain for spend analysts is to classify the products that buyers order for maintenance, tooling, raw material and such, as the ...
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Is there an algorithm for separating/clustering pairs of data so that each member of the pair goes to a distinct cluster?

Basically, I have a giant set of data that exists in pairs (A1A2B1B2C1C2...) and each piece of data has >100 variables. I'm trying to separate that data into two distinct groups, but I don't know ...
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Which algorithm is perfect to determine best fit analyst based on multiple factors?

Assume I have a team of 200 analyst who work on different IT tickets. I want a better ticket assignment system which considers multiple factors before ticket assignment. Outstanding Ticket with each ...
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Linear programming Set cover problem with no overlap [migrated]

The classical set cover problem admits overlapping (the following is the relaxed form): $\min \sum_{S \in \mathcal{S}} c(S)x(S)$ s.t $\sum_{S: e \in S} x(S) \geq 1 \ \forall e \in U$ $x(S) \in [0,1] ...
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Randomized Rounding for Set Cover modification [migrated]

I know that the following is the standard Randomized Rounding for Set Cover problem: $\min \sum_{S \in \mathcal{S}} c(S)x(S)$ s.t $\sum_{S: e \in S} x(S) \geq 1 \ \forall e \in U$ $x(S) \in [0,1] \ ...
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Data Grouping by Three Characteristics

I've got an interesting question: I'm building a system that will be handed data in a specific format. It's a part of a Quality Control system, but this system also packages these "widgets" together....
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How to Compute Multinomial Naive Bayes likelihood

I'm following this tutorial to implement a Multinomial Naive Bayes classifier to categorize text documents. It works to identify 1 single class, but how could I get the likelihood of a sample to be of ...
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Please help select an Algo based on Accuracy and Confusion Matrix

I am very new to Data Science would appreciate your advice big time. Got a task: predict if a trade will be profitable or not, based on a set of data. I have prepared, cleaned and tested data. ...
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Discrete choice questionnaire construction

I'm trying to conduct my first Discrete Choice experiment. To do this I have to construct a proper questionnaire to measure consumer preferences in a best possible way. The experiment concerns ...
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1answer
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Advice on what Machine Learning Algorithms to study for a Job to candidate matching algorithm

I have asked in a few places and this seems to get down voted for some reason. If this is not the place to ask this then some advice on how and where to ask it would be appreciated. I'm creating a ...
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What is the simplest optimization algorithm for a multi-parameter closed system?

I'm working on a minimization problem for a wireless communication link. I want to minimize the total bit error rate (BER) of a closed system. My problem is that the signal has multiple (50) ...
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Choice of ML algorithm for problem

Working on a school project where we have to match some users based on common interests. Assuming I have a list of inputs like this: Name Interest1 Interest2 Interest3 Interest4 Interest5 Name ...
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What optimization algorithm is more suitable for timetable rescheduling problem?

I'm working on the project where university course is represented as a to-do list, where: course owner (teacher of the course) can add tasks (containing the URL to the resource needs to learn and two ...
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1answer
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P-value mining on large number of combinations of variables

I really don't know any machine learning, but have a problem that seems like one where I should use some ML algorithm. I am analyzing a medical study with one age-related condition, age, a treatment, ...
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Classification vs Regression Algorithms - Should exists algorithms only for Classification and/or Regression

Dummy question: There exists algorithms that should only be used for Classification or Regression problems? For example, should Random Forest should only be apply on Classification problems and ...
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1answer
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NLP algorithms for categorizing a list of words with specific topics

Currently I am using LDA to apply topic modeling to a corpus. Since LDA is unsupervised, it returns a set of words for a given 'topic' but doesn't necessarily specify the topic itself. I was wondering ...
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Is the k-center problem part of machine learning or computational geometry? [closed]

I am currently working especially with the k-center problem, which is e.g. used to determine optimal locations for k warehouses. This is done by defining k circles that cover a given set of points (...
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PCA computed by GPflow and Sklearn doesn't match

I am performing PCA analysis by using Sklearn and GPflow. I noticed that the output returned by both the libraries doesn't match. Please see below the sample code snippet- ...
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How would you derive two association rules using Apriori algorithm from these attributes?

Using only the attributes Student, Credit Rating and Class and the apriori algorithm, I'm supposed to derive two association rules and give their support and confidence. I'm not sure how to go about ...
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1answer
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Are there any learner-specific optimizers?

In reading about machine learning (ML), and working through some basic examples, it appears to me most learning algorithms use generic optimizers. I am using the word "optimizer" to describe the ...
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Are there any Meta Knowledge bank available?

What resources do you use to learn meta knowledge ? By meta knowledge, I mean generalized information that will help us take more informed decisions when working on a problem later. Example of meta ...
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What are the 2 classes of categories to help define a problem

While studying about machine learning, I've learnt the importance of defining your problem before getting started trying to model it. I can see 2 types of problem categorification: Supervised / ...
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To which category does this algorithm belongs?

I have came across the Catboost package. Among the classes in categories in Sklearn, Catboost seems to belong to Ensemble methods. What are then the advantages of Catboost over AdaBoost, Bagging etc.?...
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Adaboost vs Gradient Boosting

How AdaBoost is different than Gradient Boosting algorithm since both of them works on Boosting technique? I could not figure out actual difference between these both algorithms from theory point of ...
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Algorithm Suggestions for a Self Project [closed]

So, I am doing a small self project on data analytics. I am collecting the android apps data from the play store sites by web scraping. I am basically trying to collect all possible information ...
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SVD++ vs wALS: Which is the more effective for implicit feedback in Recommendation system

As SVD++ can be used for implicit feedback, I would like to know whether SVD++ can gives better results than the wALS algorithm (paper: Collaborative Filtering for Implicit Feedback Datasets ). I can'...
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Why do we need a gain ratio

I'm learning about decision trees, and I feel like up till now I've understood them and the math behind them pretty well except for one thing: the gain ratio. As I understand, the gain ratio is ...
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how to decide which algorithm for this problem?

I am relatively new to data science but did spend around 1 month to learn about Neural network, keras, tensorflow, logical regression etc. However, sometimes I am not sure how to choose a right ...
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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.
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2answers
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Which type of clustering algorithm to use to identify the “same” item in different data sets?

I'm trying to find a solution for a data quality problem - specifically, identifying which items in different data sets are used to represent the same things. As an example, assume that we're a ...
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Visualize strengths and weaknesses of a sample

Let's say I'm trying to predict an apartment price. So, I have a lot of labeled data, where on each apartment I have features that could affect the price like: city street floor year built ...
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R codes for “Matrix estimation by Universal Singular Value Thresholding”

Consider a real demand estimation problem of a retailer where matrix Y is the real demand need to be estimated by using sales data (matrix) X which is bounded by stock (matrix) C. The estimation ...
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48 views

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 ...
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1answer
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What are non-machine-learning methods called?

For my masters, I'm comparing different approaches to solve a problem (like image segmentation). I'm comparing machine learning and deep learning approaches to «classical» algorithms (like simple or ...
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automatic multi data Segmentation modelling?

Not sure which tag I should use here. I went to a presentation by a company last Friday who provides deep learning solutions for banking, marketing etc. In that meeting, the sales guy say that they ...
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Can someone explain in layman terms how the Contrastive Divergence algorithm works step by step?

I am interested in learning about Restricted Boltzmann Machines (RBMs), but I have trouble understanding how an RBM is trained using contrastive divergence. There are only few papers on this topic and ...
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CNN combined with a competitive search algorithm [closed]

I'm reading some papers about Deep Neural Networks applied for board games, like for Go with AlphaGo, AlphaGo Zero and some other games, like Othello and Chess. Most of the works are using CNN's as a ...
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2answers
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Identify objects (bus) on the map based on coordinates (lat, lon) [closed]

Let's say I have an android app that frequently sends current GPS location of the user. If person is driving with bus, I can easily get GPS location of the bus and display it on the map and update it ...
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Strategies for better temporal learning

The network in question has 2 non-input layers (hidden and output). Forward pass: ...
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Why do we use leakyRELU over RELU in Variational Autoencoders?

I have seen in multiple research papers and algorithmic implementations where leakyRELU is used for variational auto encoders. Knowing the fact that leakyRELU is used to obtain non-zero gradient for ...
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Prediction in Machine Learning

When we use a regression algorithm in out dataset it's because we assume that there is a relation between our input data and some quantitative value. This is expressed as : $y = f(x)+\varepsilon $, ...
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Regression - random error term

When we use a regression algorithm in out dataset it's because we assume that there is a relation between our input data and some quantitative value. This is expressed as : $y = f(x)+\varepsilon $, ...
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1answer
44 views

Predict ratings for Item Based Collaborative Filtering

Given the (cosine) similarity score of top 100 neighbors of every item, how do I predict ratings for unrated items? Please explain in simple terms. Item 1 260 0.577305 780 0.5655413 1210 0....
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What machine learning algorithm to use for determining flows in flow networks?

I have a flow network problem almost identical to the ones you might encounter in typical optimization problems. In brief I have two types of nodes, producers and consumers and arcs which represent ...
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2answers
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Estimate battery voltage based on scheduled events and previous behaviour

My goal is to estimate if a battery will have enough charge for certain other systems to be powered. The power state of the other systems is recorded (i.e. if they are turned on or not), as well as ...
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1answer
356 views

Algorithm for multiple input single output ML

As an ML newbie, I have a question. I have a set of data with 2 inputs and 1 output. I'm trying to predict the output. input1 is an integer number, input2 is like a category between 1-5. Output is ...
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1answer
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How can I apply PCA to KNN?

I want to know the do not want to how to use library I will denote a $n\times p$ data matrix by $X$, where $n<p$. That is, each row of $X$ is one sample data with $p$ feature variables. By using ...
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1answer
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testing of data in random forest?

I want to clarify point in random forest literature. In random forest we select random features from a subset of data, i.e it is subset of features from subset of data for a single tree. But when we ...
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2answers
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Which machine learning algorithm to choose?

I want to choose an unsupervised algorithm which learns to predict $n$ outputs from the data, for eg. 4 coordinates (pixels) in an image. What algorithm should I choose? I think it's a 2-class ...