Introduction to Tableau: A Beginner’s Guide to Data Visualization

Introduction to Tableau: Overview and Installation Tableau is a powerful and versatile data visualization tool that helps users quickly analyze, visualize, and share data insights. It allows users to connect to a wide range of data sources, such as Excel spreadsheets, SQL databases, and cloud-based applications, and transform raw data into interactive and engaging visualizations.

Understanding Data Science: Definition, History, and Necessity

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 decisions. The goal of data

Using the Reduced Basis Method (RBM) to Efficiently Solve Both Differential Equations and Reduce Dimensionality in Scientific Simulations

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 method is particularly useful in

A Beginner’s Guide to QR Factorization in MATLAB: Understanding and Implementing the Algorithm

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 linear systems of equations, calculate

Unleashing the Power of Principal Component Analysis (PCA) for Data Analysis

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 information. In this article, we

روش دنپ فازی (Fuzzy DANP) یا روش ترکیبی دیمتل و ANP فازی

روش دنپ فازی (DEMATEL-based ANP) یا ANP فازی مبتنی بر دیمتل فازی، در واقع همان روش ANP فازی است که در آن ارتباطات درونی بر اساس روش دیمتل فازی مشخص شده اند. در روش فرایند تحلیل شبکه ای فازی کلاسیک، ارتباطات درونی بر اساس نظر کارشناسان تعیین میشدند. اما بعدها روش هایی ابداع شد که

آموزش روش anp فازی (FANP) با مثال ساده

روش anp فازی (FANP) با مثال ساده کاملترین تکنیک تصمیم گیری چند معیاره بدون شک روش anp فازی است. این تکنیک توانایی در نظر گرفتن ارتباطات درونی بین عوامل را دارد و در عین حال عدم قطعیت در تصمیمات کارشناسان را نیز در نظر میگیرد. در روش فرایند تحلیل شبکه ای فازی امکان در نظر