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What is k-nearest Neighbors Algorithm? In this article, we will delve into the k-nearest Neighbors Algorithm, or KNN. KNN is a supervised machine learning algorithm employed for both classification and regression tasks. It operates on a straightforward and intuitive principle—the principle of proximity. The underlying concept is that similar things …

The `Random Forest,` a machine learning algorithm, is user-friendly and often provides excellent results even without adjusting its hyperparameters. Due to its simplicity and usability, this algorithm is considered one of the most widely used machine learning algorithms for both `Classification` and `Regression.` In this article, we will examine how …

In today’s world, data is everywhere, and its management has become a critical skill in various industries. Structured Query Language (SQL) is a programming language used to manage and manipulate data stored in relational databases. SQL is a vital tool in the data industry, and its demand is on the …

What is data science? Data science is an interdisciplinary field that involves extracting insights and knowledge from data using various statistical, computational, and machine learning techniques. It involves collecting, cleaning, processing, and analyzing large and complex datasets to identify patterns, trends, and correlations that can be used to make informed …

Introduction to the Reduced Basis (RB) Method The Reduced Basis (RB) Method is a mathematical tool that has been gaining widespread popularity in recent years. It is a model order reduction approach that allows for the efficient yet reliable approximation of input-output relationships induced by parametrized partial differential equations. This …

Numerical linear algebra is a branch of mathematics that deals with the efficient computation of solutions to systems of linear equations and eigenvalue problems. One of the key tools in numerical linear algebra is the QR factorization, also known as QR decomposition. This powerful technique can be used to solve …

Principal Component Analysis (PCA) is a widely used statistical method in the field of machine learning, data analysis and pattern recognition. It is a dimensionality reduction technique that helps to simplify complex data sets by transforming them into a new space with reduced dimensions, while preserving most of the important …

Data Harnesing website has introduced TOPSIS Fuzzy software for the first time, which is available in both Excel and MATLAB environments. There is no restriction on the number of criteria and options that can be evaluated. The software comes with accompanying training files in the relevant package to make it …

Fuzzy DANP (DEMATEL-based ANP) Method or Fuzzy DEMATEL-based ANP, is essentially the same as the Fuzzy ANP method, where internal relationships are determined based on the Fuzzy DEMATEL method. In the classical Fuzzy Analytic Network Process (ANP) method, internal relationships were determined based on expert opinions. However, later methods were …

In the realm of multi-criteria decision-making, the Fuzzy Analytic Network Process (FANP) method stands out as a comprehensive and versatile technique. FANP empowers decision-makers to delve into the intricate web of relationships among factors while embracing the inherent uncertainty inherent in expert judgments. Within the framework of the Fuzzy Network …