Home » Technical Topics » Data Science
Data Science
This rubric covers the use of statistical tools working on large datasets to create models and derive inferences, as well as coverage of the field in its entirety. This differs from machine learning primarily in that the latter focuses on functional gradient analysis or neural networks (kernels) to derive models.
t-SNE : A gem in Data Visualisation
What is t-SNE? It is a Data Visualization Technique t-SNE stands for t-stochastic neighbor embedding Developed by Laurens van der Maaten and Geoffrey Hinton in 2008. It is… Read More »t-SNE : A gem in Data Visualisation
The Worst Covid-19 Misleading Graphs
Graphs are a great tool to appeal to a wide audience, They are often used to deliberately mislead, not inform, A few creative ways graphs… Read More »The Worst Covid-19 Misleading Graphs
New Tests of Randomness and Independence for Sequences of Observations
There is no statistical test that assesses whether a sequence of observations, time series, or residuals in a regression model, exhibits independence or not. Typically,… Read More »New Tests of Randomness and Independence for Sequences of Observations
Approaches to Time Series Data with Weak Seasonality
In the previous article, we have tried to model the gold price in Turkey per gram. We will continue to do that to find the… Read More »Approaches to Time Series Data with Weak Seasonality
Odds vs Probability vs Chance
Data Points There are a number of different terms used for probability in statistics. Each has a distinct (and usually precise) meaning. This article examines… Read More »Odds vs Probability vs Chance
8 Best Big Data Hadoop Analytics Tools in 2021
Most companies have big data but are unaware of how to use it. Firms have started realizing how important it is for them to start… Read More »8 Best Big Data Hadoop Analytics Tools in 2021
Types of Variables in Data Science in One Picture
While there are several dozen different types of possible variables, all can be categorized into a few basic areas. This simple graphic shows you how… Read More »Types of Variables in Data Science in One Picture
Why you should NEVER run a Logistic Regression (unless you have to)
Hello fellow Data Science-Centralists! I wrote a post on my LinkedIn about why you should NEVER run a Logistic Regression. (Unless you really have to).… Read More »Why you should NEVER run a Logistic Regression (unless you have to)
Real Estate: How it is Impacted by Business Intelligence
Data is the new oil that has been thrown around long enough to render it a cliché by this point. However, that doesn’t take away… Read More »Real Estate: How it is Impacted by Business Intelligence