Time Series Forecasting: KNN vs. ARIMA
It is always hard to find a proper model to forecast time series data. One of the reasons is that models that use time-series data… Read More »Time Series Forecasting: KNN vs. ARIMA
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AI Sight
This rubric focuses on computer vision, and how computers can gain high-level understanding from data derived from digital images or videos. Topics also include haptics and other examples of computer sensory input, as well as concepts such as generative adversarial networks and AI-driven image recognition.
Statistical Distributions in One Picture
I can’t find anymore where this chart, featuring relations between distributions, was first published. I remember seeing it on the Cloudera blog. Another shorter one… Read More »Statistical Distributions in One Picture
Model Selection: Adjusted Coefficient of Determination-Variance Tradeoff
In my previous article, we analyzed the COVID-19 data of Turkey and selected the cubic model for predicting the spread of disease. In this article,… Read More »Model Selection: Adjusted Coefficient of Determination-Variance Tradeoff
Fourier Series and Differential Equations with some applications in R and Python (Part 2)
This is the 2nd part of the article on a few applications of Fourier Series in solving differential equations. All the problems are taken from… Read More »Fourier Series and Differential Equations with some applications in R and Python (Part 2)
Using Neural Networks to Predict Cimate Change, Droughts, and Conflict Displacements
The Problem Millions of people are forced to leave their current area of residence or community due to resource shortage and natural disasters such as… Read More »Using Neural Networks to Predict Cimate Change, Droughts, and Conflict Displacements
Generative Adversarial Networks (GANs) & Bayesian Networks
Generative Adversarial Networks (GANs) software is software for producing forgeries and imitations of data (aka synthetic data, fake data). Human beings have been making fakes,… Read More »Generative Adversarial Networks (GANs) & Bayesian Networks
Introduction to Gradient Decent
The gradient decent approach is used in many algorithms to minimize loss functions. In this introduction we will see how exactly a gradient descent works.… Read More »Introduction to Gradient Decent
Stunning 3D visualization with JavaView
JavaView(http://www.javaview.de/) is a 3D geometry viewer and a mathematical visualization software known since 90x. The program is written in Java, and enables a smooth integration… Read More »Stunning 3D visualization with JavaView
Simple Correlational Analysis on Socioeconomic Factors Impacting Covid-19 Outbreak in US Counties
Background As part of my PhD work, I recently had to analyze any dataset(s) of my interest and present findings. I ended up conducting a… Read More »Simple Correlational Analysis on Socioeconomic Factors Impacting Covid-19 Outbreak in US Counties
Enhancing Satellite Imagery Through Super-Resolution
The power of deep learning paired with collaborative human intelligence to increase the quality of crop cultivation imagery through super resolution. The Problem The focus in… Read More »Enhancing Satellite Imagery Through Super-Resolution